Trending Projects

SuperPrompt is an open-source project that aims to engineer prompts to understand AI agents better.

TensorFlow documentation repository with code examples and tutorials for deep learning and machine learning.

Efficient image captioning code in Torch that runs on GPU for vibe coders working with AI tools.

A powerful library for training machine learning models efficiently on PyTorch.

An experimental real-time global illumination renderer written in Rust for vibe coders working on AI-powered projects.

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

A research corpus for benchmarking AI systems on abstract reasoning tasks.

An open source machine learning framework for .NET, providing samples and tools for building AI-powered applications.

A fast inference library for running large language models (LLMs) locally on modern GPUs

ECMAScript proposal for type syntax that is erased, focused on vibe coders using AI tools.

Preswald is a WASM packager for Python-based interactive data apps that can be run completely in-browser.

This Python library provides efficient 3D content creation by generating 3D representations from images and text.

A text classification model using CNN and RNN implemented with TensorFlow for Chinese text data.

NeuralProphet is a simple forecasting package that uses neural networks and time series analysis to make predictions.

A unified and scalable ML library for large-scale distributed training, model serving, and federated learning.

A collection of loss functions for medical image segmentation in Python.

An open-source video perception toolbox for object detection, tracking, and instance segmentation tasks.

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

A powerful search engine powered by state-of-the-art language models for vibe coders.

A Python library for representation learning on large graphs using stochastic graph convolutions.

MAGI-1 is a powerful autoregressive model for generating high-quality video at scale, built for vibe coders who work with AI tools.

A synthetic data generator for text recognition, useful for training AI-powered text detection and OCR models.

A high-performance deep learning architecture that improves upon the classic VGG model.

A large-scale vision-language model for video understanding and generation.

An open machine learning course that covers a wide range of topics including computer vision, natural language processing, and reinforcement learning.

A Python tool for the Stable Diffusion WebUI that allows for the visualization of model differences.

Official implementation of a CVPR2020 paper for video-based 3D human pose and shape estimation.

A high-performance, auto-diff neural network library for 3D and 4D sparse tensor computations.

A Python/C library and toolkit for automatically synchronizing audio and text (forced alignment).

A Go library for efficient multilingual NLP and text segmentation, supporting English, Chinese, Japanese, and others.

Official codebase for a reinforcement learning library that uses sequence modeling.

Official implementation of the DETR object detection paper with improved DeNoising Anchor Boxes

Enables PyTorch, a popular machine learning library, to run on XLA devices like Google TPUs.

KenLM is a high-performance language model library for natural language processing tasks.

A differentiable physical simulation library built with Taichi for AI and robotics applications.

A collection of computer vision and AI projects in Python, C++, and embedded systems for developers.

An open-source deep learning toolkit for building Speech-to-Text models and deploying them easily.

A toolkit for self-supervised speech pre-training and representation learning.

A Python library for building local real-time voice AI applications.

A powerful modeling language for mathematical optimization problems in Julia, supporting linear, mixed-integer, conic, semidefinite, and nonlinear programming.

An open-source browser agent that autonomously performs complex web tasks using state-of-the-art AI tools.

A collection of 200+ flashcards covering topics in machine learning, computer vision, and computer science.

This is a PyTorch implementation of a 3D U-Net CNN for medical image segmentation.

A collection of resources and examples for using large language models (LLMs) in various natural language processing and AI tasks.

Open-source platform for evaluating state-of-the-art in AI and machine learning models and challenges.

Intel® Open Image Denoise library for high-quality, real-time image and video denoising

A Ruby library that provides a powerful set of tools for building LLM-powered applications.

Official implementation of a library for representing functions using periodic activation functions

This repository contains code for the MADDPG algorithm, a multi-agent actor-critic method for cooperative-competitive environments.

This dataset generates mathematical questions and answers for school-level difficulty, useful for AI/ML research.