Machine Learning
Showing 36 of 1845 projects
A Python library that makes machine learning models interpretable and transparent through user-friendly visualizations and a web application.
An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.
A fast, differentiable physics engine built with JAX for massively parallel rigid body simulation on accelerator hardware.
A deep learning framework for training image classification models to solve complex captcha and OCR tasks.
A Python machine learning toolkit for time series analysis with scikit-learn compatible API.
A .NET binding to the TensorFlow C API for running existing machine learning models in C# and F#.
a delightful machine learning tool that allows you to train, test, and use models without writing code
A TensorFlow library providing building blocks for implementing Reinforcement Learning agents.
An open-source computational neuroscience course with tutorials, exercises, and interactive materials for students and researchers.
A Python library for automated exploratory data analysis (EDA) with high-density visualizations and target analysis in two lines of code.
A curated list of awesome open-source OCR software, libraries, datasets, and literature.
A high-performance, easy-to-use, and scalable machine learning package for linear models, factorization machines, and field-aware factorization machines.
A unified and efficient machine learning toolbox with C++ core and multi-language interfaces, developed since 1999.
A Rust-native port of Hugging Face Transformers providing ready-to-use NLP pipelines and transformer models like BERT, GPT2, and T5.
A curated list of deep learning image classification papers and their code implementations since 2014.
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
A curated list of robotics libraries, simulators, and software for developers and researchers.
A curated list of robotics libraries, simulators, and software for developers and researchers.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
A comprehensive, dependency-free statistics library for Go with extensive mathematical functions and thorough testing.
A collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.
A language and runtime that optimizes performance of data-intensive applications by lazily building and optimizing computations across libraries.
An open-source, AI-first data notebook that extends Jupyter with a sleek UI, reactive execution, and native data integrations.
Transpile trained machine learning models into native code (Java, C, Python, Go, etc.) with zero dependencies.
A PyTorch library for spatiotemporal signal processing with dynamic and temporal graph neural networks.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
A free, state-of-the-art library and toolkit for named entity extraction and binary relation detection from text.
A JAX library for neural networks and scientific computing with PyTorch-like syntax and full ecosystem compatibility.
A Swift community-driven package for interacting with the OpenAI API and other compatible providers.
A multimodal protein language model for generative protein design and engineering by jointly reasoning over sequence, structure, and function.
An audio library for PyTorch providing data manipulation, transformations, and dataset loaders for machine learning applications.
An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.
A curated list of research papers, datasets, and resources for anomaly detection in time-series, video, and image data.
Multi-dimensional arrays (tensors) and numerical definitions for Elixir, enabling machine learning and scientific computing.
A lightweight deep learning library with a functional API for composing models, compatible with PyTorch, TensorFlow, and MXNet.
A TensorFlow-based CNN solution for recognizing character-based CAPTCHAs, providing training, validation, and API modules.
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