Trending Projects

Python-driven live coding environment for vibe coders and creative developers

An open-source solution to automate the process of verifying factuality, designed for AI-focused developers.

A powerful document AI question-answering tool that connects to your local Ollama models.

Local support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3) - LLM & Embedding extraction

An unofficial Keras implementation of the Noise2Noise image denoising algorithm, useful for vibe coders working with AI-powered tools.

An open-source AI-powered face swap tool, focused on the Chinese market.

A PyTorch implementation of Temporal Segment Networks (TSN) for video understanding and action recognition.

Paddle.js is a web project for the Baidu PaddlePaddle deep learning framework, enabling browser-based inference.

A book focused on guiding the structure of Machine Learning projects and understanding how ML algorithms work.

AIConfig is a config-based framework to build generative AI applications using Python.

An open-source library for generating, editing, and working with DALL-E 2 images using the OpenAI API.

A compression toolkit for YOLOv5 with support for various backbones, modules, and deployment options.

A starter repository for training Generative Adversarial Networks (GANs), a type of AI model.

PaddleGAN is a high-performance GAN library for developers working with AI-powered applications like image editing, style transfer, and motion transfer.

tensorboardX provides a PyTorch-friendly interface to TensorBoard, a popular visualization tool for machine learning.

A TypeScript library that provides a free OpenAI GPT-4 API, enabling developers to build AI-powered applications.

An official PyTorch implementation of a deep learning model for human pose estimation

A Python library that helps diagnose and curate datasets for data-centric AI applications.

A photo-realistic single image super-resolution using a generative adversarial network (SRGAN) library.

Pytorch implementation of various deep reinforcement learning algorithms for vibe coders.

A Python library for visualizing and interpreting decision tree models.

PyTorch implementation of SimCLR, a simple framework for contrastive learning of visual representations.

A comprehensive AI roadmap and knowledge tree for developers focused on AI tools and technologies.

One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure for vibe coders.

A self-modifying AI framework built on FastAPI, SQLModel, and Streamlit for building AI-powered web applications.

Instill Core is an open-source AI infrastructure tool for orchestrating data, models, and pipelines to build AI-powered applications.

Longformer is a PyTorch-based transformer model designed for efficient processing of long documents.

A C++ implementation of the Kalman filter for angle, rate, and bias estimation from sensor inputs.

Automatically discover fast parallelization strategies for distributed deep neural network training.

An efficient implementation of the word2vec model for training high-quality word embeddings for NLP applications.

An open-source e-book on building applications with large language models (LLMs), including prompt engineering, architecture design, and more.

High-performance PyTorch implementation of the SSD (Single Shot MultiBox Detector) for object detection.

Official repository for work on micro-budget training of large-scale diffusion models for AI coding tools.

A Vision-and-Language Transformer model for multimodal tasks without the need for convolution or region supervision.

Nearest neighbor search library for high-dimensional data, useful for AI/ML applications.

A pretrained model for detecting lewd images, part of Bumble's image moderation tools.

PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.

A curated list of the best code-LLM tools for AI-powered code generation and research.

A comprehensive guide to learning about Graph Neural Networks (GNNs), a powerful deep learning technique for processing graph-structured data.

This codebase demonstrates how to synthesize realistic 3D character animations from speech input and a static mesh.

A fast and differentiable PyTorch library for computing MS-SSIM and SSIM image quality metrics.

A simple semi-supervised learning method with limited data, useful for AI/ML developers.

A heterogeneous graph neural network library for advanced graph representation learning.

A high-performance, strongly-typed language and JIT compiler for building AI and ML applications.

An open-source computer vision and deep learning library for analyzing League of Legends gameplay.

TypeScript AI platform with AI chat, Autonomous agents, Software developer agents, and more.

A C++ implementation of a visual-inertial odometry algorithm for robotic navigation.

An open-source text-to-speech library built using Transformer-based neural networks for high-quality speech synthesis.

Federated learning library for distributed AI model training across multiple devices or servers.

Streamlines prompt design for developers and non-technical users with a low-code approach.