Trending Projects

A curated list of 120+ LLM libraries categorized for LLM engineers and AI developers.

A Jupyter Notebook book that teaches linear algebra and machine learning concepts using the power of matrices.

LaMa is a PyTorch-based library for high-resolution image inpainting using Fourier convolutions.

Amphion is a toolkit for Audio, Music, and Speech Generation to support reproducible research.

An open-source semantic segmentation toolbox and benchmark for computer vision tasks.

A PyTorch implementation of the Transformer model, a popular deep learning architecture for natural language processing.

Bob is a macOS app that provides translation and OCR capabilities for developers who work with AI tools.

An implementation of the YOLOv9 object detection model, a state-of-the-art computer vision AI.

A set of containers for running machine learning models and applications on various ML frameworks.

A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.

A collection of PyTorch tutorials for developers to learn and practice AI/ML with Python.

ModelScope is an open-source AI framework that brings the notion of Model-as-a-Service to life, providing a comprehensive suite of tools for building, deploying, and managing AI models.

FreeAskInternet is a free, private, and locally-running search aggregator and answer generator using multiple LLMs, without needing a GPU.

High-resolution photorealistic video-to-video translation powered by PyTorch.

A comprehensive collection of machine learning and deep learning resources for developers.

Official PyTorch implementation of a scalable diffusion model with Transformers for AI-powered applications.

A comprehensive guide and resource for approaching and solving almost any machine learning problem.

The Havoc Framework is a Go-based framework for building AI-powered applications and tools.

Open-source implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model.

A library for image restoration without learning, using deep neural networks.

A generative model for creating music, implemented in Python with PyTorch.

This repository is an experiment in using reinforcement learning to play the classic Pokemon Red video game.

TensorRT implementation of popular deep learning networks for efficient inference on GPUs

Distributed Asynchronous Hyperparameter Optimization in Python for machine learning models.

A collection of Variational Autoencoders (VAEs) implemented in PyTorch for deep learning research and applications.

Automagically synchronize subtitles with video using audio alignment and speech detection.

PyTorch code for training Vision Transformers using the Self-Supervised DINO learning method.

This repo is an experiment where ChatGPT manages a real-money micro-cap stock portfolio.

A customizable 3D platform for agent-based AI research and development.

Evidently is an open-source ML and LLM observability framework to evaluate, test, and monitor AI-powered systems.

A feature-rich GPT wrapper for Git that generates commit messages with an LLM in 1 second, supporting various providers and local models.

Open-source multilingual multimodal chat language models for AI-powered chatbots and conversational agents.

A collection of scripts for the Stable Diffusion AI image generation model, useful for vibe coders.

A comprehensive reading list for research topics in multimodal machine learning.

Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.

Provides access and documentation for the Quick, Draw! dataset, a large collection of doodles used for machine learning research.

A course on aligning small AI models, focused on vibe coders who build with AI tools.

A PyTorch implementation of Google's BERT language model, a powerful tool for natural language processing tasks.

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

Smile is a comprehensive statistical machine learning and data science library for Java developers.

pytesseract is a Python wrapper for Google Tesseract, a popular optical character recognition (OCR) engine.

This is an AI-focused development platform for building with AI tools and services.

Causal inference and uplift modeling library for machine learning applications.

A community-maintained PHP API client that allows developers to interact with the OpenAI API.

Inference and training library for high-quality text-to-speech (TTS) models.

Rust language bindings for the TensorFlow machine learning library, enabling developers to build AI-powered applications in Rust.

A curated list of resources related to domain adaptation, a technique used to improve AI model performance on new datasets.

PointNet is a deep learning model for 3D classification and segmentation on point cloud data.

Cozeloop is an open-source platform that provides full-lifecycle management for AI agent development, debugging, and monitoring.

Code for robust monocular depth estimation, a key computer vision task for AI-powered apps.