Trending Projects

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.

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

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.

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

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

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.

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

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

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.

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

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

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.

Bayesian optimization & Reinforcement Learning library for AI/ML developers from Huawei Noah's Ark Lab

Fastest LLM gateway with adaptive load balancer, cluster mode, guardrails, and 1000+ models support.

A PyTorch repository providing pre-trained models and datasets for common computer vision tasks.

A generative adversarial network (GAN) model for learning and transferring Chinese character styles.

A Python library for meta-learning that enables fast adaptation of deep neural networks.

A Python library for removing objects from videos using computer vision and PyTorch.

Ax is an Adaptive Experimentation Platform for building, deploying, and analyzing experiments.

A collection of machine learning tools in JavaScript for developers to build AI-powered applications.

LSD-SLAM is a real-time monocular SLAM (Simultaneous Localization and Mapping) algorithm written in C++.

MUNIT is a deep learning-based method for multimodal unsupervised image-to-image translation, enabling vibe coders to create diverse and stylized images.

Deep learning software for colorizing black and white images with a few clicks.

This repository provides an AI-powered toolkit for developing applications with the Rockchip RKNN inference engine.

Propel is a differentiable programming library that allows developers to build AI-powered applications in JavaScript.

Code and documents for LongLoRA and LongAlpaca, a fine-tuning framework for large language models.

A multi-tool for semantic search, enabling advanced natural language processing and information retrieval.

A PyTorch framework for deep learning on point clouds, with support for various point cloud-related tasks.

BigDL is a distributed deep learning library that allows developers to run TensorFlow, Keras and PyTorch models on Apache Spark/Flink and Ray.

An efficient multi-scale object detection training and inference algorithm for computer vision tasks.

A comprehensive toolkit for Chinese natural language processing, written in Java.

Easy benchmarking of publicly available convolutional neural network implementations.

Resource scheduling and cluster management for AI workloads on Kubernetes and other platforms.

A fast, easy, and collaborative open-source image annotation tool for teams and individuals.

An open-source robotics simulation platform for developing and testing AI-driven robots in virtual environments.

This repository provides code and models for running inference with the SAM 3D Body Model, a tool for 3D body reconstruction.

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

This is a React and Electron-based app that runs the FreedomGPT LLM locally for offline and private use.

A fast, on-device, multilingual text-to-speech (TTS) library running natively via ONNX.

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