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 deep learning framework for training image classification models to solve complex captcha and OCR tasks.
A fast, differentiable physics engine built with JAX for massively parallel rigid body simulation on accelerator hardware.
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.
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.
An open-source computational neuroscience course with tutorials, exercises, and interactive materials for students and researchers.
A Rust-native port of Hugging Face Transformers providing ready-to-use NLP pipelines and transformer models like BERT, GPT2, and T5.
A unified and efficient machine learning toolbox with C++ core and multi-language interfaces, developed since 1999.
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 deep learning image classification papers and their code implementations since 2014.
A comprehensive, dependency-free statistics library for Go with extensive mathematical functions and thorough testing.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
A language and runtime that optimizes performance of data-intensive applications by lazily building and optimizing computations across libraries.
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.
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 collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
An open-source, AI-first data notebook that extends Jupyter with a sleek UI, reactive execution, and native data integrations.
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.
An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.
An audio library for PyTorch providing data manipulation, transformations, and dataset loaders for machine learning applications.
Multi-dimensional arrays (tensors) and numerical definitions for Elixir, enabling machine learning and scientific computing.
A curated list of research papers, datasets, and resources for anomaly detection in time-series, video, and image data.
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.
A multimodal protein language model for generative protein design and engineering by jointly reasoning over sequence, structure, and function.
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