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Driver Update Software
Driver update software helps users automatically scan their computer’s hardware to ensure that the most up-to-date drivers are installed. These platforms can detect outdated, missing, or incompatible drivers and allow users to easily download and install the latest versions directly from the manufacturer’s database. By using driver update software, users can optimize system performance, prevent hardware malfunctions, and improve device compatibility. The software typically automates the process of scanning for driver updates and can be set to run on a schedule, ensuring that the system stays up to date with minimal effort. This helps reduce errors and enhances overall system efficiency.
Class Registration Software
Class registration software facilitates the process of scheduling, managing and registering to classes in educational, recreational and training programs.
AI Computer Use Agents (CUA) Software
AI Computer Use Agents (CUAs) are advanced AI systems that enable machines to interact with computer environments in a human-like manner. Unlike traditional AI models that rely on APIs, CUAs can navigate graphical user interfaces (GUIs), perform tasks such as clicking buttons, typing text, and scrolling, effectively operating software applications as a human would. This capability allows CUAs to automate complex workflows across various platforms without the need for specialized integrations.
NPS Software
NPS software helps businesses measure customer loyalty by collecting and analyzing Net Promoter Score (NPS) feedback. It automates the process of sending surveys, tracking responses, and segmenting promoters, passives, and detractors. Many platforms include real-time dashboards, sentiment analysis, and trend reporting to help teams understand customer satisfaction over time. The software also integrates with CRM and support systems to trigger follow-ups and improve customer retention. Overall, NPS software enables companies to monitor customer sentiment, respond to issues quickly, and strengthen long-term relationships.
Driving School Software
Driving school software helps driving schools manage their day-to-day operations, from scheduling lessons and tracking student progress to handling payments and generating reports. These platforms typically include features like booking systems, instructor management, student records, and curriculum tracking to streamline administrative tasks. Driving school software can also assist with managing compliance and certifications, ensuring that students complete the required training and exams. Additionally, many systems offer communication tools to keep students and instructors informed, along with billing and invoicing capabilities. By using driving school software, driving schools can improve efficiency, enhance the learning experience, and provide better customer service.
IoT Software
Internet of Things (IoT) software is a form of technology that allows for connected devices to communicate with each other over the internet. It generally consists of various hardware and software components such as sensors, wireless networks, and databases. With the help of IoT software, data can be collected from multiple sources for further analysis and it can also be used to control devices remotely. IoT software also offers advantages such as improved efficiency and better security for connected devices.
Logbook Software
Logbook software is software to record and track operational activities, such as vehicle usage, maintenance, and employee tasks. It enables users to maintain accurate logs for compliance, efficiency, and record-keeping purposes. The software typically supports features like automated entries, customizable templates, and real-time data entry, making it easier to manage day-to-day operations. It is commonly used in industries like transportation, fleet management, and equipment maintenance. Logbook software helps organizations streamline processes, reduce errors, and improve overall operational oversight.
Gymnastics Software
Gymnastics software is software for gymnastics clubs, coaches, and organizations to manage their operations, training, and competitions. These platforms often include features like scheduling, attendance tracking, athlete management, progress tracking, and score management for competitions. Gymnastics software can help coaches create personalized training plans, monitor skill development, and track individual athlete performance over time. Additionally, the software may offer tools for registration, payment processing, and communication with athletes and parents. It streamlines administrative tasks, improves organization, and enhances the overall experience for athletes and coaches.
Neural Network Software
Neural network software uses algorithms to simulate the human brain's ability to recognize patterns. It can be used for a variety of purposes, such as image and voice recognition, natural language processing, and decision making. The software is typically composed of a number of layers that contain parameters which are adjusted through training. Finally, it can be applied in various areas such as healthcare, finance, engineering and more.
Virtual Classroom Software
Virtual classroom software is designed to provide teachers and students with a virtual platform that serves as an online learning environment for hosting classes remotely.
Yoga Studio Software
Yoga studio software enables yoga studio owners and instructors to manage their studio's day-to-day operations, enhance client engagement, and streamline administrative tasks. These platforms typically include features for class scheduling, client booking, payment processing, membership management, and attendance tracking. Yoga studio software also offers tools for managing instructor schedules, tracking client progress, and sending reminders or promotions to clients. Many platforms integrate with mobile apps to allow clients to book classes, track their attendance, and receive updates directly from their phones. This software helps yoga studios improve efficiency and client satisfaction while simplifying business management.
Emissions Management Software
Emissions management software helps organizations monitor, track, and report their greenhouse gas emissions and environmental impact to comply with regulations and support sustainability goals. It collects data from various sources such as energy use, transportation, and industrial processes, providing analytics to identify emission trends and reduction opportunities. The software often includes tools for regulatory reporting, carbon accounting, and scenario modeling to help businesses plan and implement emission reduction strategies. By automating data collection and reporting, it improves accuracy, transparency, and decision-making. Ultimately, emissions management software supports organizations in minimizing their carbon footprint and enhancing environmental responsibility.
Camp Management Software
Camp management software is software designed to streamline the administration and operations of camps, including summer camps, day camps, and specialized retreats. It helps organizers manage registrations, payments, scheduling, and communication with campers and staff in one centralized platform. Many systems offer features like camper check-in/check-out, health record tracking, and automated billing to enhance efficiency and safety. Integrated communication tools allow for easy updates and notifications to parents, staff, and campers. By automating repetitive tasks, camp management software saves time, reduces errors, and improves the overall experience for both administrators and attendees.
Virtual Fitting Software
Virtual fitting software allows apparel and fashion retailers and ecommerce stores to offer online shoppers with a virtual fitting room so that the customer can try on clothing and accessories virtually, to see how they might look, and so that they can choose the correct size. eCommerce retailers that use virtual fitting rooms get more conversions and sales, and less returns, because customers are more confident in their size and purchase.
Parks and Recreation Software
Parks and recreation software helps municipalities, community centers, and parks departments manage facilities, programs, and public services. It supports scheduling for classes, camps, sports leagues, and events while handling registrations, payments, and waitlists. Many platforms include facility booking, membership management, and staff scheduling to streamline daily operations. The software often provides online portals for residents to register for activities, reserve spaces, and access community updates. Overall, parks and recreation software improves efficiency, enhances community engagement, and helps local agencies deliver better recreational services.
Land Management Software
Land management software helps organizations, governments, and landowners efficiently manage property assets, land use, and related data throughout the land lifecycle. It centralizes information on ownership, leases, boundaries, zoning, resources, and environmental factors in one digital platform. These systems often integrate with GIS (Geographic Information Systems), mapping tools, and satellite data for visualization and spatial analysis. Land management software supports decision-making in areas such as real estate, agriculture, mining, utilities, and conservation by improving accuracy, compliance, and resource allocation. By digitizing land records and automating administrative workflows, it enhances transparency, sustainability, and long-term land stewardship.
Route Planning Software
Route planning software helps businesses and individuals create the most efficient routes for transportation or delivery purposes. These systems analyze variables such as distance, traffic conditions, time windows, vehicle capacity, and stop locations to generate optimal routes, reducing fuel costs and improving overall efficiency. Many route planning tools also offer real-time tracking, allowing fleet managers to adjust routes based on live data or unforeseen circumstances. In addition to logistical uses, this software can enhance customer satisfaction by ensuring timely deliveries and improved service. Industries such as delivery, field services, and public transportation commonly use route planning software to streamline operations and improve productivity.
Delivery Management Software
Delivery management software helps businesses and restaurants streamline and automate the process of managing deliveries, from dispatch to final delivery. It provides real-time tracking, route optimization, and communication tools, enabling efficient coordination between drivers, dispatchers, and customers. The software often includes features like electronic proof of delivery, delivery status updates, and performance analytics, ensuring timely deliveries and improved customer satisfaction. By reducing manual processes and improving delivery logistics, businesses can optimize fuel usage, reduce delays, and increase overall operational efficiency. Ultimately, delivery management software enhances service quality, reduces costs, and provides greater visibility and control over the delivery process.
School Bus Routing Software
School bus routing software helps schools optimize and manage the transportation of students by creating efficient bus routes. These systems use various data inputs such as student locations, school zones, traffic patterns, and time constraints to generate routes that minimize travel time and costs. In addition to route planning, the software often includes features like real-time bus tracking, automated notifications for parents and schools, and integration with student databases for better organization. It can also help reduce fuel consumption and improve overall fleet management by optimizing the number of buses needed. This software ensures that students are safely and efficiently transported to and from school while maintaining regulatory compliance.
Continuing Education Software
Continuing education software provides a learning management system (LMS) designed for continuous education, and tools to streamline the tracking and management of post-secondary continuing education programs and credits.
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26 Products for "using class net.sourceforge.jtds.jdbc.driver" with 2 filters applied:

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  • 1
    Aquarium

    Aquarium

    Aquarium

    ...Understand the long tail of edge cases and triage which issues to solve first. Trawl through massive unlabeled datasets to find edge-case scenarios. Bootstrap new classes with a handful of examples using few-shot learning technology. The more data you have, the more value we offer. Aquarium reliably scales to datasets containing hundreds of millions of data points. Aquarium offers solutions engineering resources, customer success syncs, and user training to help customers get value. We also offer an anonymous mode for organizations who want to use Aquarium without exposing any sensitive data.
    Starting Price: $1,250 per month
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  • 2
    Vertex AI
    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. ...
    783 Ratings
    Starting Price: Free ($300 in free credits)
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  • 3
    Llama 3.1
    The open source AI model you can fine-tune, distill and deploy anywhere. Our latest instruction-tuned model is available in 8B, 70B and 405B versions. Using our open ecosystem, build faster with a selection of differentiated product offerings to support your use cases. Choose from real-time inference or batch inference services. Download model weights to further optimize cost per token. Adapt for your application, improve with synthetic data and deploy on-prem or in the cloud. Use Llama system components and extend the model using zero shot tool use and RAG to build agentic behaviors. ...
    Starting Price: Free
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  • 4
    NVIDIA NeMo
    ...Within minutes to hours, get better responses by providing context for specific use cases using prompt learning techniques. Leverage the power of NVIDIA Megatron 530B, one of the largest language models, through the NeMo LLM Service or the cloud API. Take advantage of models for drug discovery, including in the cloud API and NVIDIA BioNeMo framework.
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  • 5
    Azure OpenAI Service
    Apply advanced coding and language models to a variety of use cases. Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security. ...
    Starting Price: $0.0004 per 1000 tokens
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  • 6
    Jina AI

    Jina AI

    Jina AI

    ...To enable high-level AI applications, one needs to solve search and create first. Neural Search uses AI to find what you need. A description of a sunrise can match a picture, or a photo of a rose can match a song. Generative AI/Creative AI uses AI to make what you need. It can create an image from a description, or write poems from a picture.
    2 Ratings
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  • 7
    Llama 3.2
    ...Llama 3.2 is a collection of large language models (LLMs) pretrained and fine-tuned in 1B and 3B sizes that are multilingual text only, and 11B and 90B sizes that take both text and image inputs and output text. Develop highly performative and efficient applications from our latest release. Use our 1B or 3B models for on device applications such as summarizing a discussion from your phone or calling on-device tools like calendar. Use our 11B or 90B models for image use cases such as transforming an existing image into something new or getting more information from an image of your surroundings.
    Starting Price: Free
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  • 8
    Context Data

    Context Data

    Context Data

    Context Data is an enterprise data infrastructure built to accelerate the development of data pipelines for Generative AI applications. The platform automates the process of setting up internal data processing and transformation flows using an easy-to-use connectivity framework where developers and enterprises can quickly connect to all of their internal data sources, embedding models and vector database targets without having to set up expensive infrastructure or engineers. The platform also allows developers to schedule recurring data flows for refreshed and up-to-date data.
    Starting Price: $99 per month
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  • 9
    Universal Sentence Encoder
    ...These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications.
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  • 10
    Neum AI

    Neum AI

    Neum AI

    ...Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud.
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  • 11
    Exa

    Exa

    Exa.ai

    The Exa API retrieves the best content on the web using embeddings-based search. Exa understands meaning, giving results search engines can’t. Exa uses a novel link prediction transformer to predict links which match the meaning of a prompt. For queries that need semantic understanding, search with our SOTA web embeddings model over our custom index. For all other queries, we offer keyword-based search.
    1 Rating
    Starting Price: $100 per month
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  • 12
    Gensim

    Gensim

    Radim Řehůřek

    ...It enables the training of models like Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), facilitating the representation of documents as semantic vectors and the discovery of semantically related documents. Gensim is optimized for performance with highly efficient implementations in Python and Cython, allowing it to process arbitrarily large corpora using data streaming and incremental algorithms without loading the entire dataset into RAM. It is platform-independent, running on Linux, Windows, and macOS, and is licensed under the GNU LGPL, promoting both personal and commercial use. The library is widely adopted, with thousands of companies utilizing it daily, over 2,600 academic citations, and more than 1 million downloads per week.
    Starting Price: Free
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  • 13
    LexVec

    LexVec

    Alexandre Salle

    LexVec is a word embedding model that achieves state-of-the-art results in multiple natural language processing tasks by factorizing the Positive Pointwise Mutual Information (PPMI) matrix using stochastic gradient descent. This approach assigns heavier penalties for errors on frequent co-occurrences while accounting for negative co-occurrences. Pre-trained vectors are available, including a common crawl dataset with 58 billion tokens and 2 million words in 300 dimensions, and an English Wikipedia 2015 + NewsCrawl dataset with 7 billion tokens and 368,999 words in 300 dimensions. ...
    Starting Price: Free
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  • 14
    fastText

    fastText

    fastText

    ...The library is optimized for performance and capable of training on large datasets quickly, and the resulting models can be reduced in size for deployment on mobile devices. Pre-trained word vectors are available for 157 languages, trained on Common Crawl and Wikipedia data, and can be downloaded for immediate use. fastText also offers aligned word vectors for 44 languages, facilitating cross-lingual natural language processing tasks.
    Starting Price: Free
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  • 15
    E5 Text Embeddings
    E5 Text Embeddings, developed by Microsoft, are advanced models designed to convert textual data into meaningful vector representations, enhancing tasks like semantic search and information retrieval. These models are trained using weakly-supervised contrastive learning on a vast dataset of over one billion text pairs, enabling them to capture intricate semantic relationships across multiple languages. The E5 family includes models of varying sizes—small, base, and large—offering a balance between computational efficiency and embedding quality. Additionally, multilingual versions of these models have been fine-tuned to support diverse languages, ensuring broad applicability in global contexts. ...
    Starting Price: Free
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  • 16
    Nomic Embed
    ...The ecosystem includes models like Nomic Embed Text v2, which utilizes a Mixture-of-Experts (MoE) architecture to support over 100 languages with efficient inference using 305M active parameters. Nomic Embed Text v1.5 offers variable embedding dimensions (64 to 768) through Matryoshka Representation Learning, enabling developers to balance performance and storage needs. For multimodal applications, Nomic Embed Vision v1.5 aligns with the text models to provide a unified latent space for text and image data, facilitating seamless multimodal search. ...
    Starting Price: Free
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  • 17
    Codestral Embed
    ...The dimensions of the embeddings are ordered by relevance, allowing users to choose the first n dimensions for a smooth trade-off between quality and cost. It excels in retrieval use cases on real-world code data, particularly in benchmarks like SWE-Bench, which is based on real-world GitHub issues and corresponding fixes, and Text2Code (GitHub), relevant for providing context for code completion or editing.
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  • 18
    EmbeddingGemma
    ...This makes it ideal for real-time, on-device tasks such as semantic search, retrieval-augmented generation (RAG), classification, clustering, and similarity detection, whether for personal file search, mobile chatbots, or custom domain use.
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  • 19
    word2vec

    word2vec

    Google

    Word2Vec is a neural network-based technique for learning word embeddings, developed by researchers at Google. It transforms words into continuous vector representations in a multi-dimensional space, capturing semantic relationships based on context. Word2Vec uses two main architectures: Skip-gram, which predicts surrounding words given a target word, and Continuous Bag-of-Words (CBOW), which predicts a target word based on surrounding words. By training on large text corpora, Word2Vec generates word embeddings where similar words are positioned closely, enabling tasks like semantic similarity, analogy solving, and text clustering. ...
    Starting Price: Free
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  • 20
    Voyage AI

    Voyage AI

    Voyage AI

    ...Built by academic experts from Stanford, MIT, and UC Berkeley, alongside industry professionals from Google, Meta, Uber, and other leading companies, our team develops transformative AI solutions tailored to enterprise needs. We are committed to pushing the boundaries of AI innovation and delivering impactful technologies for businesses. Contact us for custom or on-premise deployments as well as model licensing. Easy to get started, pay as you go, with consumption-based pricing.
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  • 21
    NVIDIA NeMo Retriever
    ...As part of the NVIDIA NeMo platform and built with NVIDIA NIM, NeMo Retriever allows developers to flexibly leverage these microservices to connect AI applications to large enterprise datasets wherever they reside and fine-tune them to align with specific use cases. NeMo Retriever provides components for building data extraction and information retrieval pipelines. The pipeline extracts structured and unstructured data (e.g., text, charts, tables), converts it to text, and filters out duplicates. A NeMo Retriever embedding NIM converts the chunks into embeddings and stores them in a vector database, accelerated by NVIDIA cuVS, for enhanced performance and speed of indexing.
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  • 22
    voyage-code-3

    voyage-code-3

    Voyage AI

    ...Voyage-code-3 employs Matryoshka learning to create embeddings with a nested family of various lengths within a single vector. This allows users to vectorize documents into a 2048-dimensional vector and later use shorter versions (e.g., 256, 512, or 1024 dimensions) without re-invoking the embedding model.
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  • 23
    spaCy

    spaCy

    spaCy

    ...It's easy to install, and its API is simple and productive. spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to process entire web dumps, spaCy is the library you want to be using. Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack, and build custom components and workflows. Components for named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking, and more. ...
    Starting Price: Free
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  • 24
    Llama

    Llama

    Meta

    ...Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making Llama available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a Llama model card that details how we built the model in keeping with our approach to Responsible AI practices.
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  • 25
    Meii AI

    Meii AI

    Meii AI

    Meii AI is a global leader in AI solutions, offering industry-trained Large Language Models that can be tuned accordingly with company-specific data and hosted privately or in your cloud. Our RAG ( Retrieval Augmented Generation ) based AI approach uses Embedded Model and Retrieval context ( Semantic Search ) while processing a conversational query to curate Insightful response that is specific for an Enterprise. Blended with our unique skills and decade long experience we had gained in Data Analytics solutions, we combine LLMs and ML Algorithms that offer great solutions for Mid level Enterprises. ...
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  • 26
    NLP Cloud

    NLP Cloud

    NLP Cloud

    ...Fine-tune your own models - including GPT-J - or upload your in-house custom models, and deploy them easily to production. Upload or Train/Fine-Tune your own AI models - including GPT-J - from your dashboard, and use them straight away in production without worrying about deployment considerations like RAM usage, high-availability, scalability... You can upload and deploy as many models as you want to production.
    Starting Price: $29 per month
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