Trending Projects

A small, lightweight tensor library in C for developers working on AI/ML projects.

A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.

An open-domain image animation tool that leverages video diffusion priors for dynamic image generation.

Curated list of top machine learning Python libraries, updated weekly with quality scores.

This C++ framework provides a powerful and flexible command-and-control (C2) infrastructure for developers building AI-powered applications.

An open-source question-answering tool that leverages large language models to provide answers to any query.

This repository contains code examples for Stanford's TensorFlow for Deep Learning Research course.

A Swift-based library for running Stable Diffusion AI models natively on Apple Silicon Macs.

AlphaFold 3 is a Python-based inference pipeline for protein structure prediction using deep learning.

A repository to research and share machine learning articles, with a focus on computer vision, NLP, and reinforcement learning.

A library for running Caffe models in TensorFlow, enabling developers to leverage existing Caffe models in their TensorFlow-based projects.

This GitHub repository provides in-depth analysis and code explanations for state-of-the-art VIO (Visual-Inertial Odometry) research papers.

LLaVA is a visual instruction tuning framework for large language and vision models, enabling GPT-4 level capabilities.

A high-performance linear algebra library for GPU-accelerated deep learning and other applications.

A Python library that adds safety guardrails to large language models like GPT-3 to improve their reliability and safety.

Code for a text-to-text transformer model that can be used for various NLP tasks.

A PyTorch-based implementation of the Single Shot MultiBox Detector for object detection in computer vision tasks.

GPEN is a Jupyter Notebook repository for a generalized portrait enhancement model.

An open-source, GPU-accelerated physics simulation engine for roboticists and simulation researchers.

State-of-the-art text embedding library for building advanced natural language processing applications.

A comprehensive collection of must-read papers on graph neural networks (GNN) for developers.

An open-source framework to help security professionals and engineers identify risks in generative AI systems.

A collection of optimizers for PyTorch, including advanced algorithms for AI/ML model training.

This repository provides guidance on optimizing algorithms for CUDA, a framework for parallel computing on NVIDIA GPUs.

A reinforcement learning-based approach to scale training of variational autoencoders (VLAs) used in AI tools.

A realtime serving engine for Data-Intensive Generative AI Applications built in Rust.

A course on building a tiny vLLM (virtual Large Language Model) and Qwen inference serving on Apple Silicon for systems engineers.

A code release for advanced neural radiance field techniques like Mip-NeRF 360, Ref-NeRF, and RawNeRF.

C++ implementation of large language models ChatGLM-6B, ChatGLM2-6B, ChatGLM3 and GLM4(V) for natural language processing.

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

An open-source deep learning framework for building, training, and fine-tuning models using physics-ML methods.

All-in-one AI framework for semantic search, LLM orchestration and language model workflows

A Python library for time series forecasting using LSTM neural networks.

A memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

Modular AI runtime for building robots with ROS2 and Zenoh integration.

This repository is an experiment in using reinforcement learning to play the classic Pokemon Red video game.

A collection of Jupyter Notebooks demonstrating various NLP techniques and libraries like Scikit-Learn, NLTK, Spacy, and Gensim.

A tutorial and code examples for building applications from scratch using large language models (LLMs).

An official Chinese translation of the TensorFlow documentation, a popular open-source AI framework.

An image-to-image translation library using conditional adversarial networks for tasks like image generation and manipulation.

A PyTorch implementation of the Efficient Neural Architecture Search (ENAS) algorithm for AI model optimization.

This repository allows reproduction of Poetiq's record-breaking AI model submissions for the ARC-AGI benchmarks.

A systematic framework for interactive world modeling with real-time latency and geometric consistency, built with Python.

A Python database system for building AI-powered applications, featuring tools for data analysis, labeling, and serving.

Uni-MoE is a large multimodal model family from Lychee, a Python library for AI model development and deployment.

Keras 3 is a multi-backend deep learning framework for building and training models with support for JAX, TensorFlow, PyTorch, and OpenVINO.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

An open-source Python tool to transform multimodal content into captivating multilingual audio podcasts powered by GenAI.

An open-source project that explores the use of world models for reinforcement learning in diverse domains like Minecraft.

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.