Trending Projects

Large-scale, informative, and diverse multi-round chat data and models for chatbot and language model development.

A Python library for multi-objective optimization, supporting a variety of algorithms like NSGA2, NSGA3, and more.

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

Open and efficient foundation language models for building advanced AI applications

A Chinese OCR (Optical Character Recognition) library built using CTPN, DenseNet, and CTC.

A PyTorch-based computer vision foundation model with deformable convolutions for object detection and segmentation.

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

An open-source AI trading arena that allows developers to build and compete with AI-powered trading agents.

A book on the foundations and models of machine translation, including deep learning and neural machine translation.

A Go library for efficient multilingual NLP and text segmentation, supporting English, Chinese, Japanese, and others.

Turn expensive prompts into cheap fine-tuned models for AI developers and ML engineers.

Open-source tools and solutions for working with large language models like ChatGPT.

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets.

A unified evaluation framework for large language models, focused on prompt engineering and model robustness.

An immersive language learning assistant that helps developers learn new languages through AI-powered tools.

A Python library for fine-tuning the ChatGLM language model for downstream tasks using techniques like Freeze, LoRA, and P-tuning.

An implementation of the MuZero reinforcement learning algorithm for general-purpose use cases.

A TensorFlow library for learning to rank and build recommender systems using machine learning.

A high-performance neural network libraries for deep learning written in Python.

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

Official codebase for a reinforcement learning library that uses sequence modeling.

A pre-trained RoBERTa language model for Chinese NLP tasks.

pylearn2 is a machine learning library written in Python, but it is no longer actively maintained.

Python tools for 3D face processing, including 3DMM, mesh transformations, and 3D face representations.

An open-source library for multilingual automatic speech recognition with word-level timestamps and confidence.

A general fine-tuning kit for image/video/audio diffusion models, geared toward AI-powered developers.

A JavaScript computer vision library with a wide range of computer vision algorithms.

A repository with papers, code, and experiments using deep learning for time series forecasting.

A comprehensive collection of interview questions and answers for AI, computer vision, and LLM topics.

This repository contains annotated research papers on machine learning and deep learning topics.

Biomni is a general-purpose biomedical AI agent that can be used for a variety of tasks in the healthcare and life sciences domains.

Code for running RFdiffusion, a machine learning library for protein structure prediction.

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

This repository provides a benchmark for evaluating the complex reasoning ability of large language models using chain-of-thought prompting.

An open-source visual-inertial navigation research platform for robotics and SLAM applications.

A C++ library for building local AI inference platforms with support for ONNX models.

A fully automated AI-powered short video engine for generating videos from text, images, and audio.

A comprehensive set of fairness metrics and algorithms to detect and mitigate bias in AI/ML models and datasets.

DeepWalk is a Python library that learns feature representations for nodes in a graph using deep learning techniques.

Official implementation of the DETR object detection paper with improved DeNoising Anchor Boxes

A simple and easy-to-use TensorFlow cookbook for developers working with AI tools.

An open-source research platform for developers working with AI and large language models.

Enables PyTorch, a popular machine learning library, to run on XLA devices like Google TPUs.

AnyCrawl is a Node.js/TypeScript web scraper that extracts structured data from search engines and websites for use in AI/LLM applications.

An open-source deep learning tutorial using the PaddlePaddle framework, suitable for developers interested in AI tools.

VideoRAG is a large-language-model-based system that enables chatting with long-form video content.

A JavaScript playground for generating images from text prompts using Stable Diffusion AI technology.

A unified framework for large-scale data computation that scales popular Python data tools like NumPy, Pandas, and Scikit-Learn.

This repository tracks the latest advancements in Simultaneous Localization and Mapping (SLAM) research.

A distributed machine learning toolkit from Microsoft for building scalable AI and ML models.