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Published directory entries matching your search.
python-frog is an open-source Python library hosted on GitHub providing bindings to the Dutch NLP tool Frog, which supports part-of-speech tagging, lemmatisation, named entity recognition, morphological analysis, shallow parsing and dependency parsing.
The lightweight PyTorch wrapper for high-performance AI research.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
regression-js is a JavaScript library for curve fitting. It is hosted on GitHub and can be contributed to by the community. It is open source and available for installation via npm.
REP is a GitHub-hosted machine learning toolbox developed by Yandex, branded as a Reproducible Experiment Platform. It includes documentation for its main features, usage examples, and installation guidance for both Docker and manual setup.
Scikit-Survival is a Python library that implements survival analysis functionality built on top of the scikit-learn framework. It is hosted as a public open source repository on GitHub for community contributions.
Skale is a distributed data processing and machine learning engine that provides a high-level API in JavaScript and a parallel execution engine on top of Node.js. The repository was archived by its owner on May 29, 2021 and is read-only. It supports multiple data sources and formats, and can run in local or distributed mode.
Open-source OSINT tool for accurate mutual friends analysis on Steam, supporting full friend lists.
SVGo is a Go language library for SVG generation. It supports common SVG elements including shapes, lines, text, paths, images, and gradients, and is hosted as an open-source project on GitHub.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
torchvista is an open-source tool that enables interactive visualization of PyTorch forward passes in Jupyter notebooks, maintained as a public GitHub repository under the sachinhosmani organization. It supports interactive drag-and-zoom graphs, collapsible nodes for hierarchical modules, and error-tolerant partial visualization when errors arise.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Ruby implementation of the UEA-Lite stemmer for conservative stemming in search and indexing workloads. It normalizes suffixes with a rule set while avoiding aggressive stemming, removes possessive apostrophes, expands contractions by default and preserves tokens beginning with uppercase letters. The gem has no runtime dependencies.
Upgini is an open-source data search and enrichment library for Machine Learning and AI pipelines. It enables users to find and add relevant features from hundreds of public and premium external data sources, including open and commercial large language models.
Vearch is a cloud-native distributed vector database for similarity search of embedding vectors in AI applications. It supports hybrid vector search and scalar filtering, replication, elastic scaling, RESTful APIs, and SDKs for Python, Go, Java and Rust. It integrates with frameworks including LangChain and LlamaIndex and can be deployed via Kubernetes or Docker Compose.
Helps find, analyze or synthesize information for research and knowledge discovery.
The windML framework provides access to wind data sources within Python, building upon numpy, scipy, sklearn and matplotlib. It relates to renewable wind energy forecasting and prediction. The package is currently not maintained, though a deprecated branch is available.
