Trending Projects

A high-performance face recognition library for developers built on PaddlePaddle and PyTorch.

Official PyTorch implementation of an efficient 3D mesh reconstruction and high-quality rendering technique.

NVIDIA's WaveGlow is a flow-based generative network for high-quality speech synthesis in Python.

Export and share your ChatGPT conversation history as Markdown files.

A PyTorch implementation of various continual learning methods for AI/ML developers.

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

Reinforcement Learning implementations and exercises for Python developers

High-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

A state-of-the-art open visual language model for multimodal pretraining and applications.

Effortless AI-assisted data labeling with support from YOLO, Segment Anything (SAM, SAM2), and MobileSAM.

A tutorial on training a TensorFlow Object Detection Classifier for multiple object detection on Windows.

A deep learning-based image denoising library that can handle a variety of denoising tasks like JPEG deblocking and super-resolution.

A Python library for building robotic applications based on the IsaacLab framework.

A curated list of Embodied AI/Robotics job opportunities for developers interested in building AI-powered robots and agents.

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

A Jupyter Notebook project that implements a Chinese version of the LLaMA language model from scratch.

An open-ended embodied agent with large language models for exploring and learning in Minecraft environments.

A command-line tool that brings AI capabilities to the terminal, allowing developers to leverage AI in their workflows.

A machine learning-powered image inpainting tool that can remove watermarks from images.

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

Project that provides a reasoning-based segmentation method using large language models.

An open-source quantitative trading platform powered by reinforcement learning for finance and fintech developers.

An AI-powered tool to generate knowledge graphs from text data, with visualization capabilities.

Fast Multimodal LLM on Mobile Devices: A C++ library for running large language models on mobile devices

An open-source AI-powered platform for cyber threat intelligence and hunting, built with Django and React.

An open-source framework for building, evaluating, and training general multi-agent assistance systems using AI tools.

A TensorFlow-based CRNN model for scene text recognition, useful for vibe coders working on OCR and computer vision AI.

This repository provides optimized PyTorch models and inference tools for NVIDIA GPUs, aimed at vibe coders building with AI tools.

DeepSeekMath is a Python library that pushes the limits of mathematical reasoning in open language models.

This repository provides guidance on optimizing algorithms for CUDA, a framework for parallel computing on NVIDIA GPUs.

A Python tutorial on Bayesian modeling techniques using the PyMC3 library.

A Python package for building real-time, AI-powered audio applications like speaker diarization and voice activity detection.

A dataset and pretrained model for detecting safety helmet wearing, useful for computer vision projects.

Multi-AI collaboration bridge enabling Claude, Codex & Gemini to work together with persistent context and low token overhead

A production-ready GraphRAG platform with multi-modal indexing, AI agents, and scalable Kubernetes deployment.

A JAX-based simulator for autonomous driving research, focused on developing AI-powered self-driving systems.

An explainable GNN (Graph Neural Network) library for interpreting and understanding GNN models.

Official implementation of the RecurrentGPT paper for interactive generation of long text using AI.

Microsoft's research repo for large-scale self-supervised pre-training across tasks, languages, and modalities

PyTorch Handbook is a comprehensive guide for learning and using PyTorch in deep learning, with tested tutorials and examples.

A Python library for implementing various machine learning algorithms.

Open-source, strong foundation image recognition models for developers building with AI tools.

A TypeScript framework for building applications with large language models like ChatGPT, Anthropic, and Cohere.

Python code and model to control the AH!, an AI-powered robotics platform for vibe coders.

Instructions for setting up a deep learning development environment on your machine.

A full Python interactive 3D Gaussian Splatting viewer for real-time editing and analyzing.

An intelligent document parsing tool that extracts and converts data from various document formats to structured data like Markdown, JSON, CSV, and HTML.

An AI-powered crypto trading bot that automates futures trading on platforms like Binance and Bitget.

A small speech recognition library written in C that can be used in a variety of applications.

Highly efficient transformer-based model for high-resolution image restoration tasks like deblurring, deraining, and denoising.