Trending Projects

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

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

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

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

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

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.

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

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

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

Python library for optimal transport and related problems, useful for machine learning tasks.

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.

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.

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

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 TypeScript library that helps developers craft prompts for Large Language Models.

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.

A conversational knowledge base tool built with TiDB Serverless Vector Storage for AI-powered workflows.

KenLM is a high-performance language model library for natural language processing tasks.

A hub for EleutherAI's work on interpretability and learning dynamics for large language models.

A Swift app demonstrating Core ML Stable Diffusion, a popular AI-powered image generation tool.

CodeBERT is a pre-trained model for programming language understanding and generation, useful for various AI coding tools.

Integrate ChatGPT into your own Discord bot with this Python library.

A model API for GALACTICA, a large language model focused on scientific and technical domains.

YAD2K is a Python library that provides a Keras-based implementation of the YOLO (You Only Look Once) object detection model.

A Python-based tool for building Vtuber-like applications, similar to Vtube Studio.

A Jupyter Notebook demonstrating prompt-based music generation using the Mubert API, targeting vibe coders.

A deep learning-based recommender system for developers working with AI tools and frameworks.

A curated list of awesome compiler projects and papers for tensor computation and deep learning.

An easy-to-use framework for knowledge editing and fine-tuning of large language models (LLMs).

A multi-agent particle environment used in research on cooperative-competitive AI agents.

Easily compute CLIP embeddings and build a CLIP-based retrieval system with this Jupyter Notebook library.

A framework for training Stable Baselines3 reinforcement learning agents with hyperparameter optimization.

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

An open-source computer vision framework for building machine vision applications in Python.

Comprehensive analytics, versioning, and ETL toolkit for multimodal data (video, audio, PDFs, images)

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

A curated list of resources for Learning with Noisy Labels, focusing on robust deep learning models.

A diffusion model for singing voice conversion, implemented in a Jupyter Notebook.