Trending Projects

An open-source C++ library for Bayesian inference and data analysis using Markov Chain Monte Carlo (MCMC) methods.

A strong baseline and bag of tricks for deep person re-identification in computer vision.

A quickstart for building AI-powered applications using the OpenAI Assistants API and Next.js.

Run AI models like LLaMA locally on your machine with Node.js bindings for llama.cpp and enforce JSON schema on the output.

Manifold is a C++ geometry library focused on topological robustness for AI-powered applications.

A comprehensive list of ICs and IPs for AI, Machine Learning and Deep Learning development

An interface library for reinforcement learning (RL) post-training with environments.

A Python library for building deep neural networks with scikit-learn-compatible classifiers and regressors.

An open-source annotation tool for machine learning practitioners to label data for training models.

A Rust-based deep learning library that aims to achieve high performance and low latency for AI applications.

Tracery is a JavaScript library for generating stories and text using grammars.

A library for building dynamic computation graphs in TensorFlow for deep learning applications.

A Python library that provides a collection of commonly used machine learning evaluation metrics.

Infer.NET is a C# framework for running Bayesian inference in graphical models, useful for machine learning.

A curated collection of resources for mixture-of-experts models, a powerful AI technique.

A curated list of 99 machine learning projects for anyone interested in learning and building with ML

A real-time AI image generator library powered by TypeScript and modern web technologies.

Graph Transformer Architecture for developing graph neural networks with attention mechanisms.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions.

A curated list of awesome MLOps tools to help developers build, deploy, and monitor machine learning models

This repo contains a course on Deep Reinforcement Learning from Hugging Face.

YAYI 2 is an open-source large language model (LLM) for Chinese developers, trained on over 20 trillion tokens.

An unofficial PyTorch implementation of the audio LM VALL-E, a text-to-speech AI model.

A playground for running AI red teaming exercises, including infrastructure setup.

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3/V2, and other popular computer vision models for PyTorch.

An open-source implementation of a hierarchical 3D Gaussian representation for rendering large datasets in real-time

Algorithm to texture 3D reconstructions from multi-view stereo images, useful for computer vision and 3D graphics projects.

A drag-and-drop quantum circuit simulator that runs in the browser for exploring small quantum circuits.

A collection of machine learning examples and experiments for upcoming Coding Train videos.

Point Cloud Library (PCL) is a powerful open-source library for 3D computer vision and point cloud processing.

Postgres-based database with GPU acceleration for machine learning and AI applications.

Comprehensive list of papers and resources on using large language models for robotics and reinforcement learning

Baby Dragon Hatchling (BDH) is an AI-powered architecture and code repository for vibe coders.

A Keras library for building sequence-to-sequence models, useful for vibe coders building AI-powered apps.

Shapash is a library that provides user-friendly explainability and interpretability for machine learning models.

An open-source AI cookbook featuring Jupyter Notebooks with AI code examples and tutorials.

An official implementation of a Transformer-based time series forecasting model.

This is an Apple BLE research project written in Python, focused on exploring Bluetooth Low Energy (BLE) on Apple devices.

A collection of resources and examples for using large language models (LLMs) in various natural language processing and AI tasks.

An all-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.

This GitHub repository contains notes on the Deep Learning book, a valuable resource for developers interested in AI and machine learning.

This is a Jupyter Notebook repository for an open-source embodiment project from Google DeepMind.

Distributed deep learning library for Keras and Spark, enabling scalable training of neural networks.

Realtime AI voice agents with state-of-the-art multimodal AI models for AI toys, companions, and devices.

A high-performance image synthesis model with improved distribution matching distillation.

A repository for training models for music source separation, a useful tool for audio processing.

A project-based course on developing AI agents using LangChain v1+ and LangGraph for search, RAG, reflection, and code interpreters.

Tau-Bench is a Python library for benchmarking and evaluating AI language models and tools.

Open-source code for a NeurIPS 2018 paper on multi-task learning as multi-objective optimization

Experiments with local and API-based AI models for vibe coders building with AI tools.