Results for: deep learning with python

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Deep Learning Software
Deep learning software provides tools and frameworks for developing, training, and deploying artificial neural networks, particularly for complex tasks such as image and speech recognition, natural language processing (NLP), and autonomous systems. These platforms leverage large datasets and powerful computational resources to enable machines to learn patterns and make predictions. Popular deep learning software includes frameworks like TensorFlow, PyTorch, Keras, and Caffe, which offer pre-built models, libraries, and tools for designing custom models. Deep learning software is essential for industries that require advanced AI solutions, including healthcare, finance, automotive, and entertainment.
Machine Learning Software
Machine learning software enables developers and data scientists to build, train, and deploy models that can learn from data and make predictions or decisions without being explicitly programmed. These tools provide frameworks and algorithms for tasks such as classification, regression, clustering, and natural language processing. They often come with features like data preprocessing, model evaluation, and hyperparameter tuning, which help optimize the performance of machine learning models. With the ability to analyze large datasets and uncover patterns, machine learning software is widely used in industries like healthcare, finance, marketing, and autonomous systems. Overall, this software empowers organizations to leverage data for smarter decision-making and automation.
Language Learning Software
Language learning software offers structured programs designed to teach users new languages through interactive lessons and exercises. These platforms typically include modules for grammar, vocabulary, pronunciation, and listening comprehension, helping learners build foundational language skills. Many language learning software options utilize multimedia tools, such as audio, video, and quizzes, to reinforce lessons and keep users engaged. Some software also offers tracking features to monitor progress and set personalized learning goals. With the flexibility to learn at one's own pace, these tools make it possible to study languages from beginner to advanced levels, often providing support for multiple languages.
Online Learning Platforms
Online learning platforms enable users to learn about a wide variety of topics. Online learning platforms, sometimes known as MOOCs (Massive Open Online Courses) or EdTech platforms, allow anyone to learn new topics and skills. Online learning platforms can be used by individuals, or by companies and organizations that want to educate and upskill their employees.
Learning Management Systems (LMS)
A Learning Management System, or LMS, is a software platform used to create, deliver and manage online training programs. They provide instructors with the ability to design course content, track learner progress, assess performance and generate reports. Learners also benefit from self-paced learning options that are available through most systems. Additionally, an LMS can be tailored to meet specific organizational needs such as providing specialized learning paths for different job roles.
Mobile Learning Software
Mobile learning software enables learners to access educational content and training materials on mobile devices, such as smartphones and tablets, enhancing flexibility and accessibility. These platforms typically offer features like interactive lessons, quizzes, progress tracking, and multimedia content that can be accessed anytime, anywhere. Mobile learning software is widely used for both formal education and corporate training, providing users with a more engaging, personalized learning experience. By using this software, businesses and educational institutions can deliver content to learners on-the-go, increase engagement, and improve knowledge retention.
Learning Experience Platforms
Learning Experience Platforms (LXPs) are advanced digital platforms designed to deliver personalized, engaging, and learner-centric education and training experiences. They aggregate content from various sources—such as courses, videos, articles, and social learning—and use AI to recommend relevant learning paths based on individual needs and preferences. LXPs support interactive features like social collaboration, gamification, and assessments to boost learner motivation and retention. By integrating with Learning Management Systems (LMS) and other HR tools, they provide seamless tracking and analytics of learning progress. Ultimately, LXPs empower organizations to foster continuous skill development and adapt learning to the evolving needs of employees and learners.
Learning Analytics Software
Learning analytics software enables organizations to collect, measure, and analyze learning data from learning management systems, training software, and educational software.
Social Learning Platforms
Social learning platforms are online tools that facilitate the exchange of knowledge and information between individuals. These platforms enable users to connect with others who share similar interests or goals, allowing them to engage in meaningful discussions and collaborative learning activities. They often offer a variety of features such as discussion forums, virtual classrooms, and interactive content to enhance the learning experience. Users can also track their progress and receive feedback from peers and instructors on these platforms. Overall, social learning platforms provide a convenient and accessible way for individuals to learn new skills and expand their knowledge through interaction with others.
Active Learning Software
Active learning tools in artificial intelligence are systems designed to enhance the efficiency of machine learning by strategically selecting the most valuable data points for training.
eLearning Content Providers
eLearning content providers create and deliver educational materials and courses in digital formats, making learning accessible online. They offer a wide range of content, from professional training and certifications to academic subjects and personal development. These providers often use multimedia elements—such as videos, quizzes, and interactive exercises—to enhance engagement and understanding. With scalable platforms, eLearning content providers cater to diverse audiences, including corporations, educational institutions, and individual learners. Their goal is to make quality education flexible and accessible, supporting learning anywhere, anytime.
Machine Learning as a Service Software
Machine Learning as a Service (MLaaS) platforms provide users with cloud-based access to pre-trained models and algorithms for predictive analytics and data analysis. MLaaS makes machine learning accessible by eliminating the need to develop and maintain complex infrastructure, instead allowing users to leverage remote computing resources in order to generate insights quickly and easily. These platforms vary in terms of features, services and pricing, offering different combinations designed to cater to a range of user needs.
AI Language Learning Software
AI language learning apps use artificial intelligence to help users learn new languages more efficiently by personalizing the learning experience. These apps often offer interactive lessons, voice recognition, and real-time feedback to improve pronunciation, grammar, and vocabulary. The AI algorithms adapt to the user's learning pace, strengths, and weaknesses, providing tailored exercises and challenges.
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.
eLearning Authoring Tools
eLearning authoring tools are software platforms that enable educators, instructional designers, and businesses to create interactive and engaging online learning content. These tools allow users to design courses, lessons, quizzes, and assessments without needing extensive programming knowledge. Features typically include drag-and-drop functionality, multimedia integration (text, images, videos, audio), and SCORM or xAPI compatibility for integration with Learning Management Systems (LMS). Some eLearning authoring tools also support responsive design, enabling content to be viewed on various devices like desktops, tablets, and smartphones. They are commonly used to develop courses for corporate training, academic programs, and professional development.
Corporate Learning Management Systems Software
Corporate learning management systems (LMS) are software platforms that help companies manage, track and deliver employee training. They provide a centralized repository for all the educational resources a company makes available, as well as tracking and reporting tools to measure progress. An LMS can also be used to create customized individual learning plans or onboarding experiences.
Healthcare Learning Management Systems (LMS)
Healthcare learning management systems (LMS) are digital platforms used to help healthcare organizations improve their education and training processes. They provide features such as course and content authoring, user tracking and reporting, mobile device accessibility and more. With these tools, healthcare providers can optimize their training methods for better patient outcomes.
Hospitality Learning Management Systems (LMS) Software
Hospitality Learning Management Systems (LMS) provide a comprehensive solution to the challenges of staff training and compliance in the hospitality industry.
Learning Content Management Systems (LCMS) Software
A learning content management system (LCMS) is a software application designed to facilitate the creation, organization, and delivery of educational materials. It allows users to upload, organize, and manage course content such as videos, documents, and interactive quizzes.
AI-Based Learning Management Systems Software
AI-based learning management systems (LMS) leverage artificial intelligence to enhance the educational experience by personalizing learning paths for each student. These systems use algorithms to analyze learners' progress and adapt content, making recommendations based on individual strengths, weaknesses, and preferences. AI-powered LMS can automate administrative tasks, such as grading and feedback, allowing instructors to focus more on interaction and engagement. Additionally, they provide real-time analytics, offering insights into student performance, engagement levels, and overall learning trends.
View more categories (20) for "deep learning with python"

23 Products for "deep learning with python" with 2 filters applied:

  • 1
    PyBullet

    PyBullet

    PyBullet

    PyBullet is a Python module for physics simulation, robotics, and deep reinforcement learning, built on the Bullet Physics SDK. It supports loading articulated bodies from URDF, SDF, and other formats, providing forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. PyBullet offers rendering capabilities, including a CPU renderer and OpenGL visualization, with support for virtual reality headsets. ...
  • 2
    VisionPro Deep Learning
    VisionPro Deep Learning is the best-in-class deep learning-based image analysis software designed for factory automation. Its field-tested algorithms are optimized specifically for machine vision, with a graphical user interface that simplifies neural network training without compromising performance. VisionPro Deep Learning solves complex applications that are too challenging for traditional machine vision alone, while providing a consistency and speed that aren’t possible with human inspection. ...
  • 3
    GPUEater

    GPUEater

    GPUEater

    ...Fees will be paid by credit card in the next month. High performance, but low price compared to others. Will be installed in the world's fastest supercomputer by Oak Ridge National Laboratory. Machine learning applications like deep learning, computational fluid dynamics, video encoding, 3D graphics workstation, 3D rendering, VFX, computational finance, seismic analysis, molecular modeling, genomics, and other server-side GPU computation workloads.
    Starting Price: $0.0992 per hour
  • 4
    SKY ENGINE

    SKY ENGINE

    SKY ENGINE AI

    SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. ...
  • 5
    Apollo Autonomous Vehicle Platform
    ...Using sensor fusion technology perception algorithms can determine in real time the type, location, velocity and orientation of objects on the road. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. The large-scale deep-learning platform and GPU clusters. Simulation provides the ability to virtually drive millions of kilometers daily using an array of real world traffic and autonomous driving data. Through the simulation service, partners gain access to a large number of autonomous driving scenes to quickly test, validate, and optimize models with comprehensive coverage in a way that is safe and efficient.
  • 6
    Physna

    Physna

    Physna

    Our industry-leading geometric deep learning technology bridges the gap between physical objects and digital code. We are changing the future of engineering, industrial design and procurement, and putting the power in the hands of innovators and creators, one 3D model at a time. Using proprietary algorithms and advanced geometric deep learning technology, Physna codifies 3D models into detailed data that is understandable by software applications.
  • 7
    Veryon

    Veryon

    Veryon

    ...Get everything you need right at your fingertips, including real-time visibility of maintenance data, operations data, regulatory data, and more. With an intuitive platform interface that makes it easier to find what you’re looking for, plus a team of experts with deep aviation knowledge. With an intelligent database that leverages AI and machine learning to simplify everything from documentation to troubleshooting. After nearly 50 years in the business, we have built a growing reputation for getting our customers more aircraft uptime.
  • 8
    Webots

    Webots

    Cyberbotics

    Cyberbotics' Webots is an open source, multi-platform desktop application designed for modeling, programming, and simulating robots. It offers a comprehensive development environment that includes a vast asset library with robots, sensors, actuators, objects, and materials, facilitating rapid prototyping and efficient robotics project development. Users can import existing CAD models from tools like Blender or URDF and integrate OpenStreetMap data to create detailed simulations. Webots...
    Starting Price: Free
  • 9
    VeriStand

    VeriStand

    National Instruments

    ...You can interact with and monitor application data, alarm states, and system execution metrics using a run-time editable user interface. Although you don't need programming knowledge, you can also use a variety of software environments such as LabVIEW, ANSI C/C++, Python, and ASAM XIL to add custom functionality to VeriStand. VeriStand helps test engineers reduce the time they need to test their products with a wide range of functionality including configurable data acquisition, simulation model integration, test sequencing, and logging. Learn more about how you can use VeriStand to develop, deploy, and run your real-time tests.
    Starting Price: $2,065 per year
  • 10
    ERDAS IMAGINE

    ERDAS IMAGINE

    Hexagon Geospatial

    ...Powerful algorithms and data processing functions work behind the scenes so you can concentrate on your analyses. ERDAS IMAGINE offers K-Means, ISODATA, object-based image segmentation, Machine Learning and Deep Learning Artificial Intelligence algorithms.
  • 11
    Jidoka

    Jidoka

    Jidoka

    ...Jidoka Technologies is in the field of industrial automation, delivering cutting-edge engineering solutions to a diverse range of problems. Specialize in combining our expertise in the areas of manufacturing, machine vision, deep learning and software, to deliver unique solutions for automation. We specialize in automating the detection of visual defects, a process that is highly subjective by nature across industries. Experience the most comprehensive solution on your road to achieving Jidoka. We teach machines to learn by example. Ability to teach the variations in the visual nature of the components and defects & to handle drifts in the processes. ...
  • 12
    Mindkosh

    Mindkosh

    Mindkosh AI

    Mindkosh is the data platform for curating, labeling and validating datasets for your AI projects. Our industry leading data annotation platform combines collaborative features with AI-assisted annotation features to provide a comprehensive suite of tools to label any kind of data, be it Images, videos or 3D pointclouds such as those from Lidar. For images, Mindkosh offers semi-automatic segmentation, pre-labeling for bounding boxes and automatic OCR. For videos, automatic...
    Starting Price: $30/user/month
  • 13
    Google Earth Engine
    ...This extensive catalog encompasses over 50 years of historical imagery, updated daily, with resolutions as fine as one meter per pixel, featuring datasets such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Earth Engine enables users to analyze Earth observation data and apply machine learning techniques through its web-based JavaScript Code Editor and Python API, facilitating the development of complex geospatial workflows. The platform's integration with Google Cloud allows for large-scale parallel processing, empowering users to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, Earth Engine offers interoperability with BigQuery.
    Starting Price: $500 per month
  • 14
    Aspen DMC3

    Aspen DMC3

    Aspen Technology

    Develop more accurate and sustainable APC models covering a wider operational range by combining linear and nonlinear variables with deep learning. Improve ROI with rapid controller deployment, continuous model improvement and simplified workflows to enable easier use by engineers. Revolutionize model building with AI and streamline controller tuning with step-by-step wizards to specify linear and nonlinear optimization objectives. Increase controller uptime by accessing, visualizing and analyzing real-time KPIs in the cloud. ...
  • 15
    Unicorn Render

    Unicorn Render

    Unicorn Render

    ...Available as a standalone application or as a plugin, Unicorn Render integrates advanced AI technology and professional visualization tools. The software supports GPU+CPU acceleration through deep learning photorealistic rendering technology and NVIDIA CUDA technology, allowing joint support for CUDA GPUs and multicore CPUs. It features real-time progressive physics illumination, a Metropolis Light Transport sampler (MLT), a caustic sampler, and native NVIDIA MDL material support. Unicorn Render's WYSIWYG editing mode ensures that 100% of editing can be done in final image quality, eliminating surprises in the production of the final image.
  • 16
    ENVI

    ENVI

    L3Harris Geospatial Solutions

    ...ENVI has remained on the cutting edge of innovation for more than three decades due in part to its support of all types of data including multispectral, hyperspectral, thermal, LiDAR and SAR. ENVI makes deep learning accessible to people through intuitive tools and workflows that don’t require programming. ENVI can also be customized through an API and visual programming environment to meet specific project requirements. ENVI uses scientifically proven analytics to deliver expert-level results. Businesses and organizations choose ENVI because it integrates with existing workflows, supports today's most popular sensors, and can easily be customized to meet unique project requirements.
  • 17
    Wolfram Mathematica
    The world's definitive system for modern technical computing. For three decades, Mathematica has defined the state of the art in technical computing—and provided the principal computation environment for millions of innovators, educators, students, and others around the world. Widely admired for both its technical prowess and elegant ease of use, Mathematica provides a single integrated, continually expanding system that covers the breadth and depth of technical computing—and is seamlessly...
    Starting Price: $1,520 per year
  • 18
    NVIDIA Iray
    ...In combination with AI denoising, this enables you to create photorealistic rendering in seconds instead of minutes. Using Tensor Cores on the newest NVIDIA hardware brings the power of deep learning to both final-frame and interactive photorealistic renderings.
  • 19
    Evo Designer

    Evo Designer

    Arc Institute

    ...Additionally, Evo Designer evaluates sequences by scoring their perplexity and per-nucleotide entropy, assisting researchers in assessing sequence complexity and variability. The underlying Evo 2 model is trained on over 9 trillion nucleotides from a diverse array of prokaryotic and eukaryotic genomes, employing a deep learning architecture that models biological sequences at single-nucleotide resolution with a context window extending up to 1 million tokens.
  • 20
    ESMFold
    ...Our work reveals connections across domains: large language models that are behind advances in machine translation, natural language understanding, speech recognition, and image generation are also able to learn deep information about biology.
    Starting Price: Free
  • 21
    Evo 2

    Evo 2

    Arc Institute

    Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. ...
  • 22
    FARO Sphere XG

    FARO Sphere XG

    FARO Technologies, Inc.

    FARO Sphere XG is a cloud-based digital reality platform that provides its users a centralized, collaborative experience across the company’s reality capture and 3D modeling applications. When paired with the Stream mobile app, Sphere XG enables faster 3D data capture, processing and project management from anywhere in the world. Sphere XG systematizes every activity while remaining intuitive to navigate, allowing users the ability to better organize their 3D scans and 360° photos...
  • 23
    Planisware

    Planisware

    Planisware

    Planisware Enterprise captures your strategy and aligns your portfolios, projects, and teams to make an impact on the bottom line. Planisware Orchestra enables project decision-making across the entire portfolio and helps you reach the next maturity level. Planisware Enterprise is an integrated solution that brings together budgets, forecasts, schedules, resources, and actuals. Global organizations like Ford, Philips, Pfizer, and Société Générale, and dynamic mid-sized innovators such as...
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