Trending Projects

Fast and efficient Jax-based reinforcement learning implementations for developers building AI-powered applications.

Content-aware image resize library for Go that uses seam carving and edge detection algorithms.

Segmentation models with pretrained backbones for image processing and computer vision tasks.

A fast, full-featured web app that provides access to popular AI chatbots like ChatGPT, Bard, and Bing.

Jupyter notebooks for learning and experimenting with the popular scikit-learn machine learning library.

YOLOv5-Lite is a lightweight object detection model optimized for mobile and embedded devices.

GLIGEN is an open-source library for grounded text-to-image generation, enabling developers to create AI-powered image generation models.

WhisperPlus is a faster, smarter, and more capable AI-powered audio transcription library built on top of OpenAI's Whisper model.

A PyTorch-based deep learning framework for 2D/3D medical image segmentation.

A comprehensive survey of deep learning techniques for 3D point cloud analysis, covering classification, detection, segmentation, and tracking.

ChatArena is a multi-agent language game environment for developing communication and collaboration capabilities of AI models.

Phantom is a subject-consistent video generation tool that aligns text and video via cross-modal alignment.

An open-source, state-of-the-art image restoration library for deblurring, denoising, and deraining tasks.

A Python library for automatically generating high-quality prompts for large language models.

A Python library for generating prompts for the Claude AI language model.

A PyTorch Lightning code guideline and template for building deep learning projects.

A desktop sandbox for connecting to large language models (LLMs) for secure computer use.

A high-performance 3D Gaussian Splatting rasterizer for rendering AI-generated graphics.

Experts.js provides an easy way to create and deploy OpenAI assistants as modular AI agents with expanded memory and attention.

GPT-3 is a large language model developed by OpenAI, showcasing few-shot learning capabilities.

A Tensorflow solution for Named Entity Recognition (NER) using the BERT-BiLSTM-CRF model with BERT fine-tuning.

AITemplate is a Python framework for rendering neural networks into high-performance CUDA/HIP C++ code, optimized for GPU inference.

This repository provides a Chinese localization extension for the stable-diffusion-webui, an AI image generation tool.

A deep matching model library for building recommendation and advertising systems using AI tools.

A C++ library for real-time multiple object tracking using the Hungarian algorithm and Kalman filters.

Official PyTorch implementation for a novel method to visualize classifications by Transformer based networks.

A state-of-the-art PyTorch implementation for facial expression recognition, useful for developers working on computer vision and AI applications.

An all-in-one computer vision toolkit for developers building AI-powered applications.

A set of pre-trained machine learning models for the spaCy NLP library.

The Alan AI SDK for Flutter enables building conversational AI-powered apps and voice interfaces.

A PyTorch extension library with optimized scatter operations for efficient data processing.

A work-in-progress chess bot written in C# for developers interested in building chess AI.

A Persian natural language processing toolkit for tasks like tokenization, lemmatization, and part-of-speech tagging.

Efficient computing methods developed by Huawei Noah's Ark Lab for model compression and optimization.

A Python-based universal workflow plugin for the Claude AI assistant, with agents, skills, hooks, and commands.

A collection of Jupyter Notebook code for deep learning courses using PyTorch.

Physics-Informed Neural Networks (PINN) Solvers for accelerated simulation and scientific machine learning.

Open-source optical flow toolbox and benchmark for computer vision tasks powered by PyTorch.

A collection of cool Python features and tutorials for machine learning and data science.

High-performance MLS-MPM solver for graphics and simulation applications.

An open-source NLP book and library for developers interested in natural language processing and AI.

A platform for designing and evaluating Graph Neural Networks (GNNs) using Python.

A flexible voxel-based mapping library for robotics, focused on truncated and Euclidean signed distance fields.

An ensemble sampling toolkit for affine-invariant Markov Chain Monte Carlo (MCMC) in Python.

Data annotation toolbox that supports image, audio and video data for AI/ML model training.

A PyTorch repository with various neural network models like CNN, BiLSTM, GRU, and LSTM for developers working with AI tools.

A flexible package for multimodal deep learning to combine tabular, text, and image data using Wide and Deep models in PyTorch.

Code and data for enhancing photorealism, focusing on AI-powered image manipulation tools.

A high-performance parallel environment execution engine for reinforcement learning environments.

This Jupyter Notebook series covers the fundamentals of NLP and Computer Vision, leading to cutting-edge Vision-Language Models.