Trending Projects

A pure PyTorch implementation of the NVIDIA paper on Instant Training of Neural Graphics Primitives.

A visual-inertial calibration toolbox for cameras and IMUs, enabling precise sensor fusion.

An open-source platform for building and managing AI-optimized context graphs for AI-powered applications.

A unified, comprehensive and efficient recommendation library for building recommendation systems.

An open-source language server that empowers software engineers with AI-powered functionality, not replacing them.

A comprehensive repository covering papers, codes, datasets, tutorials, and applications for transfer learning, domain adaptation, and more.

A comprehensive robotics toolbox for Python with tools for kinematics, dynamics, motion planning, and more.

This is a library for solving partial differential equations using neural networks.

A collection of examples and demos for the Transformers.js library, which brings powerful AI models to JavaScript.

Run AI models like LLaMA locally on your machine with Node.js bindings for llama.cpp and enforce JSON schema on the output.

A Linux app for speech-to-text, text-to-speech, and machine translation, with offline capabilities.

Open source audio fingerprinting library in C# for building acoustic recognition applications.

Versatile database for AI, supporting storage, querying, versioning, and visualization of any AI data.

InstantMesh is an efficient 3D mesh generation tool that can create high-quality 3D meshes from a single image.

This repository contains the official implementation of the MobileCLIP and MobileCLIP2 research papers, focused on AI-powered mobile app development.

A tutorial course for building AI-powered applications using Stable Diffusion and PyTorch.

A library for efficient weight quantization of large language models to accelerate inference on edge devices.

A multimodal dataset for emotion recognition in conversation, useful for building conversational AI and chatbots.

An interactive playground for exploring and experimenting with neural networks in the browser.

A comprehensive collection of resources for AI algorithm job seekers, including interview prep, coding challenges, and company lists.

A curated list of awesome MLOps tools to help developers build, deploy, and monitor machine learning models

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

A collection of Jupyter Notebooks for a Machine Learning course, focused on Python and AI/ML concepts.

A reliable multi-agent orchestration framework for building complex distributed systems and applications.

A retargetable MLIR-based machine learning compiler and runtime toolkit for AI/ML developers.

An open-source memory layer for autonomous agents, enabling self-improvement and knowledge management.

SLAM3R provides real-time dense scene reconstruction capabilities for vibe coders working with AI tools.

Perception and AI components for autonomous mobile robotics.

A comprehensive collection of resources to learn the essential mathematics for machine learning.

A comprehensive benchmark for document parsing and evaluation, designed for CVPR 2025.

A curated collection of Python scripts from basics to advanced, including automation tasks.

An advanced paper search agent powered by large language models that can autonomously search, read, and select relevant references.

A library for building graph neural networks in TensorFlow, useful for vibe coders working on AI-powered applications.

An AI-powered assistant that generates PowerPoint presentations from natural language prompts.

A benchmark for measuring the performance of AI agents at machine learning engineering tasks.

This is a Chinese guide and resources for using ChatGPT, including prompt engineering, development, and productivity tips.

A comprehensive collection of resources for anomaly detection, including books, papers, videos, and toolboxes.

A customizable image-to-video model based on HunyuanVideo for developers building AI-powered video applications.

A blueprint for building production-ready RAG systems that minimize hallucination, with switchable pipelines.

A distributed system for running large language models (LLMs) on personal devices, enabling faster fine-tuning and inference.

High-performance C++ library for fast local deployment of large language models (LLMs) like LLaMA.

Turn any computer or edge device into a command center for your computer vision projects.

Reinforcement learning framework for training humanoid robots with zero-shot sim-to-real transfer.

A Java library for building deep neural networks with GPU acceleration for machine learning and AI applications.

Official implementation of the ReStyle StyleGAN encoder, a tool for iteratively refining StyleGAN image generation.

An image augmentation library in Python for machine learning and deep learning applications.

An official implementation of a Transformer-based time series forecasting model.

A starter template for building AI-powered applications using LangChain and Next.js.

DepthAI is a high-performance, low-power embedded AI vision library for building computer vision and spatial AI applications.

Picasso is a CNN visualizer that helps developers understand and interpret convolutional neural networks.