Machine Learning
Showing 36 of 601 projects
A multimodal protein language model for generative protein design and engineering by jointly reasoning over sequence, structure, and function.
An API-oriented Python framework for unsupervised learning on graphs, featuring node/graph embeddings and community detection.
A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.
A curated list of resources, tools, and applications for OpenAI's Whisper speech recognition model.
A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.
A Python library for audio data augmentation to improve the robustness of audio machine learning models.
Official TensorFlow Python wheels for Raspberry Pi, enabling machine learning on edge devices.
A minimal, well-tested library for training and using feedforward artificial neural networks in ANSI C.
A high-performance C++ image processing and machine learning library optimized with SIMD instructions across multiple CPU architectures.
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
A Python library for feature engineering and selection with scikit-learn compatible transformers.
A dataset of 129.6 million computer-generated building footprint polygons for the United States, derived from satellite imagery.
An open source Python library and framework for building computer vision models on satellite, aerial, and large imagery sets.
A curated list of libraries, tutorials, and resources for implementing machine learning in the Ruby programming language.
A curated list of awesome libraries, data sources, tutorials, and resources for machine learning using the Ruby programming language.
PyGAD is a Python library for building genetic algorithms and optimizing machine learning models with Keras and PyTorch support.
A simple wrapper that combines Keras and Hyperopt for convenient hyperparameter optimization in deep learning models.
Open-source robot simulation software integrated with OpenAI Gym for reinforcement learning research.
An open-source framework that enables AI agents to learn from experience through a persistent learning loop, improving performance over time.
A collection of TypeScript libraries for music and art generation using pre-trained machine learning models in the browser.
A curated list of awesome libraries, projects, tutorials, and resources for the JAX machine learning ecosystem.
A toolkit and library for developing, evaluating, and reproducing reinforcement learning algorithms.
.NET for Apache Spark provides high-performance .NET APIs for Apache Spark, enabling C# and F# developers to work with structured and streaming data.
A curated collection of R tutorials, packages, and resources for Data Science, NLP, and Machine Learning.
A Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY.
A web/desktop application for collaborative labeling and annotation of images, text, audio, documents, and other data types.
An end-to-end Python pipeline for semantic segmentation of aerial and satellite imagery to extract features like buildings and roads.
A platform for developing AI bots that play Doom using visual information, designed for reinforcement learning research.
A collection of 30+ LaTeX drawing examples for Bayesian networks, graphical models, tensors, and academic illustrations.
A TensorFlow library for building, training, and deploying recommender system models with Keras.
A framework for running deep neural network models directly in web browsers using ONNX format with WebGPU, WebGL, and WebAssembly backends.
Elyra is a set of AI-centric extensions for JupyterLab that adds visual pipeline editing, batch job execution, and AI-assisted coding.
A JAX-based library providing numerical differential equation solvers for ODEs, SDEs, and CDEs with autodifferentiation and GPU support.
A Ruby library for building LLM-powered applications with a unified interface for multiple providers, RAG systems, and AI assistants.
A Python framework and Rust-based distributed processing engine for stateful event and stream processing.
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