Machine Learning
Showing 36 of 1845 projects
A self-hosted photo management service with automatic face recognition, object detection, and semantic search.
A library that enables PyTorch, Chainer, MXNet, and NumPy users to write TensorBoard events with simple function calls.
A simple feed-forward neural network library for JavaScript, enabling machine learning tasks like pattern recognition and function approximation.
A curated list of resources, tools, datasets, and learning materials for Chinese Natural Language Processing.
A reinforcement learning framework for training AI agents to play Pokémon Red using PyBoy emulation.
A Python NLP library from Stanford for tokenization, sentence segmentation, NER, and dependency parsing across 60+ languages.
An open-source Python framework to evaluate, test, and monitor ML and LLM systems with 100+ built-in metrics.
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
A Python library for distributed asynchronous hyperparameter optimization over complex search spaces.
Automatically differentiate native Python and NumPy code for gradient-based optimization and machine learning.
An open-source, in-memory platform for distributed and scalable machine learning with support for a wide range of algorithms and big data technologies.
A curated list of papers, code, and resources for object detection algorithms in computer vision.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
A curated collection of tutorials and resources following the data scientist roadmap for learning essential data science skills.
A customizable 3D platform based on Quake III for agent-based AI and deep reinforcement learning research.
A neural network library for JAX designed for flexibility, enabling researchers to experiment with new training forms by modifying training loops.
A neural network library for JAX designed for flexibility, enabling researchers to experiment with new training forms by modifying training loops.
A distributed caching platform that bridges computation frameworks and storage systems for large-scale analytics and ML workloads.
A suite of web applications for inspecting and understanding TensorFlow runs and graphs.
An open-source feature store for managing and serving machine learning features for training and online inference.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A Python framework for creating AI agents that learn to play any video game you own.
An architecture-free neural network library for Node.js and the browser, supporting various network types.
An open-source Python package for training interpretable glassbox models and explaining blackbox machine learning systems.
An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.
A Python scikit for building and analyzing recommender systems that handle explicit rating data.
A public dataset of 50 million vector drawings across 345 categories, captured from the Quick, Draw! game.
An open-source MLOps/LLMOps suite for experiment management, data management, pipelines, orchestration, scheduling, and model serving.
A curated collection of standalone examples demonstrating machine learning tasks with TensorFlow.js in browsers and Node.js.
A collection of teaching materials, code, and data for data analysis and machine learning projects with accompanying blog posts.
A multi-domain Chinese word segmentation toolkit offering higher accuracy and domain-specific models.
A curated list of research papers, datasets, and software projects for machine learning applied to source code (MLonCode).
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