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Data Science Software
Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
Computer Vision Software
Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
AI Coding Assistants
AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
View more categories (4) for "python regex"
283 Products for "python regex" with 2 filters applied:
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1
MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional Map... -
2
TF-Agents
Tensorflow
... for building custom environments, policies, and networks, facilitating the creation of complex RL pipelines. TF-Agents supports both Python and TensorFlow environments, allowing for flexibility in development and deployment. It is compatible with TensorFlow 2.x and provides tutorials and guides to help users get started with training agents on standard environments like CartPole. -
3
Gamification-Engine
ActiDoo
... be reached directly or by evaluating, leaderboards daily, weekly, monthly or yearly, time zone independent (correct daily, weekly, evaluations among time zones). Social-awareness (e.g. reach the highest score among your friends), geo-awareness (e.g. reach the highest score among all users in your city), rules can be defined in python using given variables (e.g. the current level), custom definable achievement properties and rewards, custom definable languages and translations. -
4
Nova
Panic
... start. It all starts with our first-class text-editor. It's new, hyper-fast, and flexible, with all the features you want: smart autocomplete, multiple cursors, a Minimap, editor overscroll, tag pairs and brackets, and way, way more. For the curious, Nova has built-in support for CoffeeScript, CSS, Diff, ERB, Haml, HTML, INI, JavaScript, JSON, JSX, Less, Lua, Markdown, Perl, PHP, Python, Ruby, Sass, SCSS, Smarty, SQL, TSX, TypeScript, XML, and YAML. -
5
CanvasJS Charts
Fenopix Technologies
JavaScript Charting Library with 10x better performance & a simple API. You can easily integrate our JS Charts with popular Frameworks like React, Angular, Vue, etc. The library comes with 30+ chart types including line, column, bar, area, pie, doughnut, stacked, etc. Graphs support various interactive features like tooltips, zooming, panning, animation, events, drill-down, exporting and can easily be integrated with various server-side technologies like PHP, Ruby, Python, ASP.Net, Node... -
6
Microsoft Cognitive Toolkit
Microsoft
... and parallelization across multiple GPUs and servers. CNTK can be included as a library in your Python, C#, or C++ programs, or used as a standalone machine-learning tool through its own model description language (BrainScript). In addition you can use the CNTK model evaluation functionality from your Java programs. CNTK supports 64-bit Linux or 64-bit Windows operating systems. To install you can either choose pre-compiled binary packages, or compile the toolkit from the source provided in GitHub. -
7
Codecov
Codecov
Develop healthier code. Improve your code review workflow and quality. Codecov provides highly integrated tools to group, merge, archive, and compare coverage reports. Free for open source. Plans starting at $10/user per month. Ruby, Python, C++, Javascript, and more. Plug and play into any CI product and workflow. No setup required. Automatic report merging for all CI and languages into a single report. Get custom statuses on any group of coverage metrics. Review coverage reports by project...Starting Price: $10 per user per month -
8
RedLine13
RedLine13
... you the flexibility of writing load tests in languages and utilities you use every day. You can write custom tests in Python, PHP or Node.js. We provide an open, easy, and cheap way for load testing. We achieve this with an open architecture which provides tuning and control to setting up the cloud load agents.Starting Price: $0 per month -
9
Google Tasks
Google
Get more done with the Google Tasks mobile app. Manage, capture, and edit your tasks from anywhere, at anytime, with to-dos that sync across all your devices. Integrations with Gmail and Google Calendar help you get tasks done—faster. The Google Tasks API lets you search, read, and update Google Tasks content and metadata. This document describes how to use a RESTful calling style and client libraries for various programming languages (currently Java, Python, and PHP) to access and edit Google... -
10
Azure Pipelines
Microsoft
Automate your builds and deployments with Pipelines so you spend less time with the nuts and bolts and more time being creative. Get cloud-hosted pipelines for Linux, macOS, and Windows. Build web, desktop and mobile applications. Deploy to any cloud or on‑premises. Build, test, and deploy Node.js, Python, Java, PHP, Ruby, C/C++, .NET, Android, and iOS apps. Run in parallel on Linux, macOS, and Windows. Easily build and push images to container registries like Docker Hub and Azure Container... -
11
inedo BuildMaster
Inedo
..., drag-and-drop editors, and pre-existing PowerShell, Python, and other scripts. BuildMaster is self-managed, which means you have the option to run BuildMaster on-premises or in your private/public cloud. BuildMaster can replace and/or work with different build automation tools. Discover the differences, similarities, and compatibility with your existing tools. -
12
YAG-Suite
YAGAAN
... in their understanding of the vulnerability causes and impacts. Its contextual remediation support them in fixing efficiently the problems while improving their secure coding skills. Additionally, YAG-Suite's unprecedented 'code mining' support security investigations of an unknown application with mapping all relevant code features and security mechanisms and offers querying capabilities to search for 0-days or non automatically detectable risks. PHP, Java and Python are supported. JS, C/C++ coming soonStarting Price: From €500/token or €150/mo -
13
IBM Cloud™ Data Shield enables users to run containerized applications in a secure enclave on an IBM Cloud Kubernetes Service host, providing data-in-use protection. IBM Cloud Data Shield supports user-level code to allocate private regions of memory, called enclaves, that are protected from processes running at higher privilege levels. It extends Intel Software Guard Extensions (SGX) language support from C and C++ to Python and Java™, while also providing preconverted SGX applications for My...
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14
Barchart OnDemand
Barchart
..., JSON and CSV, and can be streamed over WebSockets. We’re compatible with any operating system, such as Windows, Linux, iOS or Android, and any programming language, such as Python, Java, PHP, R, or ASP.NET. We embrace the cloud but also maintain physical data centers for specific client needs. Through our Equinix-based facilities we cater to low latency requirements and provide a true physical back-up. -
15
Quandl
Quandl
The premier source for financial, economic, and alternative datasets, serving investment professionals. Quandl’s platform is used by over 400,000 people, including analysts from the world’s top hedge funds, asset managers and investment banks. Quandl delivers market data from hundreds of sources via API, or directly into Python, R, Excel and many other tools. Save time and money by getting the data you need in the format you want. Our unparalleled consumption experience frees your analysts... -
16
Azure Blob Storage
Microsoft
..., security, and availability needs of mobile, web, and cloud-native application developers. Use it as a cornerstone for serverless architectures such as Azure Functions. Blob storage supports the most popular development frameworks, including Java, .NET, Python, and Node.js, and is the only cloud storage service that offers a premium, SSD-based object storage tier for low-latency and interactive scenarios.Starting Price: $0.00099 -
17
PlatformIO
PlatformIO
...-dependent configurations that turn away talented developers from becoming embedded engineers. The most loved IDE solution for Microsoft Visual Studio Code. A user-friendly and extensible integrated development environment with a set of professional development instruments, providing modern and powerful features to speed up yet simplify the creation and delivery of embedded products. PlatformIO is written in pure Python and doesn't depend on any additional libraries/tools from an operation system. -
18
... models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
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19
MLflow
MLflow
... and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects. -
20
Mayan EDMS
Mayan EDMS
Find what you need with advanced search, tagging and categorization capabilities. Automate you business processes with workflows. Secure your documents with the role based access control. Web based, cross platform, free open source. Integrates with your existing for no initial investment and low total cost of ownership. Mayan EDMS is a Free Open Source Electronic Document Management System, coded in the Python language using the Django web application framework and released under the Apache 2...Starting Price: Free -
21
SPOJ
Sphere Online Judge
The SPOJ platform is centered around an online judge system, which serves for the automatic assessment of user-submitted programs. Some of its most important features include support for more than 45 programming languages and compilers, including C, C++, Pascal, JAVA, C#, Perl, Python, Ruby, Haskell, Ocaml, and esoteric languages. A rapidly growing problem-set of about 13000 tasks available for practice 24hours/day (in English, Polish, Vietnamese, Portuguese and other languages), including many... -
22
Oracle Machine Learning
Oracle
Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python... -
23
SolveXia
SolveXia
... amounts of data. Embedded BI to create stunning visualisations from your data. Connectors to AI services and support for Python and R models. Replace your disconnected data silos with powerful, end-to-end automation. Create all of of your reports in minutes, allowing you to spend more time on analysis. Processes can pause, request and collect approvals and data from humans. Share processes and data with your team and reduce key-person risk. -
24
Xilinx
Xilinx
... the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications. -
25
pytest
pytest
... of the box. Supports Python 3.6+ and PyPy 3. Rich plugin architecture, with over 315+ external plugins and thriving community. The maintainers of pytest and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. -
26
ActiveMQ
Apache Software Foundation
Apache ActiveMQ® is the most popular open source, multi-protocol, Java-based message broker. It supports industry standard protocols so users get the benefits of client choices across a broad range of languages and platforms. Connect from clients written in JavaScript, C, C++, Python, .Net, and more. Integrate your multi-platform applications using the ubiquitous AMQP protocol. Exchange messages between your web applications using STOMP over websockets. Manage your IoT devices using MQTT... -
27
LoginID
LoginID
... a transaction can be cryptographically signed providing proof of the user’s confirmation of that specific transaction, which is perfect for merchants who want payment authentication services. LoginID is aligned with PSD2, GDPR, CCPA, and HIPPA. We have SDKs for iOS, Android, React-Native, Web, Python, Java, and Node as well as a WordPress Plugin.Starting Price: Free -
28
nipap
nipap
Enjoy a pleasant and intuitive web interface user experience. Fairly good documentation, for users and developers alike. This thing was built by network engineers for network engineers because nothing else out there matched our passion for storing IP addresses. Comes with a feature complete CLI for anyone who prefers libreadline to a web browser. Written in the world's most awesomest programming language. There's also a very convenient pynipap library for interfacing with NIPAP from Python... -
29
Chainer
Chainer
A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes... -
30
Deeplearning4j
Deeplearning4j
DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API...