Trending Projects

Drake is a C++ library for model-based design and verification of robotics systems.

Deformable DETR is a state-of-the-art object detection model that uses deformable transformers for end-to-end detection.

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

A Python library for reinforcement learning environments and evaluations targeted at AI-focused developers.

A C++ library for building robust and modular behavior trees for AI and robotics applications.

Collection of generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

A collection of machine learning resources for developers interested in AI and data science.

A collection of notes and exercises for the 'Dive into Deep Learning' course, focused on deep learning and PyTorch.

An open-source library for quantizing diffusion models to 4-bit precision, absorbing outliers through low-rank components.

Official implementation of a paper on VACE, a video creation and editing tool powered by AI.

An extensive node suite that enables ComfyUI to process 3D inputs using cutting-edge algorithms.

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

A Python library that enables interaction with SQL databases using natural language and large language models.

A PyTorch implementation of Squeeze-and-Excitation Networks, a CNN architecture that enhances feature expressiveness.

AllenAI's open-source post-training codebase for building AI models and agents.

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

A Jupyter Notebook-based resource covering the essentials of probability and statistics, relevant for machine learning.

A reinforcement learning environment for developing AI agents that can play the Google Research Football game.

A thorough PyTorch tutorial for developers to learn and master the deep learning framework

Curated tutorials and resources for large language models, text-to-SQL, and related AI-powered development tools

A Python library for character animation and face reenactment using AI-powered tools.

A visual tracking library based on PyTorch for computer vision and machine learning applications.

A high-quality video frame interpolation library that can significantly improve video smoothness and quality.

This GitHub repository provides AI and Machine Learning tutorials and examples using Kubeflow, Amazon EKS, and SageMaker.

A Python library for generating photorealistic training images using the Blender 3D software.

Improved AnimateDiff for ComfyUI and Advanced Sampling Support for AI-powered animation and image generation.

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

A 3D computer vision framework for 3D reconstruction, camera tracking, and photogrammetry.

Photon is a Rust/WebAssembly image processing library for developers who want to leverage AI-powered image manipulation.

A PyTorch-based package of deep learning-based CTR models for easy-to-use, modular, and extendible development.

An IDA plugin that uses language models to speed up reverse-engineering tasks for developers.

An open-source PyTorch implementation of a text detection algorithm for curved text in images.

A C++ library for simulating biological evolution, not focused on AI coding tools.

A curated list of resources and projects related to quantum machine learning, algorithms, and frameworks.

Python library for analyzing magnetoencephalography (MEG) and electroencephalography (EEG) data.

A TypeScript-powered web app that brings ML-powered speech recognition to the browser using the Whisper AI model.

HippoRAG is a novel RAG framework that enables LLMs to continuously integrate knowledge across external documents.

A Python-based Xiaozhi AI for users who want the full Xiaozhi experience without owning specialized hardware.

Official implementation of a paper on improving portrait animation using global audio perception

Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.

A tactical manual to systematically maximize the performance of your deep learning models.

A sparsity-aware deep learning inference runtime for CPUs, optimized for performance and efficiency.

An advanced multimodal AI model series for vision-language reasoning, developed by Skywork AI.

A fast and accurate object detection method with new technologies like NAS backbones and efficient RepGFPN.

A unified inference and post-training framework for accelerated video generation powered by AI.

A computer vision and machine learning library optimized for Arm CPUs and GPUs using SIMD technologies.

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM.

A PyTorch implementation of a fast and accurate 3D face alignment model for computer vision applications.

OpenMMLab's model deployment framework for optimizing and deploying computer vision models across various backends.

A Python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience.