机器学习 · GitHub

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

• 🐼 For training data attribution evaluation, check out quanda!
• New batch implementation for 12X speedup of existing faithfulness metrics (!)

Convert Machine Learning Code Between Frameworks

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

• Collaborate with others in real time, no sign up!
• Usable on web or as Windows,Mac or Linux desktop application

The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable insights.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

🎁 7,400,000+ Unsplash images made available for research and machine learning

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

• Tiny Embeddings: 64-dimensional Matryoshka-style embeddings for extremely fast search.
• Throughput: Thanks to the small size, the inference speed is 2-4x faster than competitors.

CARES Reinforcement Learning Package

A Systems View of Efficient Machine Learning, from Silicon to Agents. Fourteen parts, from roofline analysis and vector units up through kernels, compilers, quantisation, compression, vision, on-device language models, robotics, profiling, serving and agents.

Build Custom Deep Neural Network Trainers in 2026: Open Source BuilT Guide

TinyML AI inference library

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

This is an open sourced book on deep learning.

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Fast and differentiable MS-SSIM and SSIM for pytorch.