Trending Projects

Official PyTorch implementation of Magic123, a tool for generating high-quality 3D objects from a single image using 2D and 3D diffusion priors.

Examples for using ONNX Runtime for machine learning inferencing.

SmoothQuant is an efficient post-training quantization tool for large language models, enabling accurate and fast inference.

A personal knowledge management system and digital garden for Swyx, a developer focused on building with AI tools.

Open-source tools for computational pathology and digital pathology research using deep learning and weakly-supervised learning.

On-line Machine Learning library in Go for building AI-powered applications.

A C++ project for deploying large language models (LLMs) like ChatGLM and Baichuan using the MNN framework.

An open-source hardware platform for the SUSI AI virtual assistant, built with Python on Raspberry Pi.

A Jupyter Notebook-based course on accelerated computer vision using AWS Machine Learning University.

A Python library that uses Transformers to remove harmful/harmless refusals from text.

Extensible, parallel implementations of the popular t-SNE dimensionality reduction algorithm for data visualization.

An official repository for a paper on using executable code actions to elicit better LLM agents

Tigramite is a Python library for causal inference and time series analysis with a focus on time series data.

A Python library for developers building AI-powered applications and tools.

PaddleSlim is an open-source library for deep model compression and architecture search.

An open-source Python library that uses invisible watermarking to protect creators' intellectual property

A TensorFlow implementation of contextualized word representations from bi-directional language models.

A tool to generate generative NFT art projects using JavaScript.

A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.

A Python framework for GPR underground hazard detection using reservoir computing and SAM techniques.

A TensorFlow/Keras implementation of the Stable Diffusion AI model for text-to-image generation.

Examples of using sparse attention, a technique for efficient Transformer-based sequence modeling.

A Python library for training and detecting objects using the YOLO3 deep learning algorithm.

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, and Quantum Neural Networks.

Google Assistant for macOS, allowing developers to build AI-powered voice assistants for their Mac applications.

Open academic research on improving the LLaMA language model to state-of-the-art performance.

Qwen-Image-Layered is a Python library for layered decomposition and inherent editability of images.

Frontier CoreML audio models for iOS and macOS apps with text-to-speech, speech-to-text, voice activity detection, and speaker diarization.

An open-source Python framework for implementing the Chanlun technical analysis methodology, supporting trading strategies and visualizations.

This GitHub repository contains deep learning papers and resources focused on medical image analysis.

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies

A Python library for generating physically stable 3D toy brick models from text prompts.

A Rust library for running customized and fine-tuned large language models (LLMs) locally or on the edge.

This Python project helps developers build knowledge graphs from scratch, including named entity recognition, relation extraction, and question answering.

BrainFlow is a library for obtaining, parsing and analyzing data from various biosensors like EEG, EMG, ECG.

Infer.NET is a C# framework for running Bayesian inference in graphical models, useful for machine learning.

A Python-based multimodal OCR tool for efficient offline processing of LaTeX, ZhEn, and tables on Windows.

A lightweight and efficient virtual try-on diffusion model for fashion applications.

A collection of pre-trained models for the dlib computer vision and machine learning library.

A Python library that enables lifting 2D objects to 3D using Segment-Anything model.

A computer vision and deep learning-based face mask detection system using OpenCV and TensorFlow/Keras.

A Jupyter Notebook-based tool for generating AI-powered NFT images.

A curated list of papers on Agential Language Models and Reinforcement Learning for AI developers.

A library for training AI models on circuit designs, likely useful for vibe coders working on AI-powered hardware.

This open-source repository provides a collection of state-of-the-art visual object tracking algorithms built with PyTorch for developers working on computer vision and deep learning projects.

A lightweight Python library that provides a unified API for common reranking and cross-encoder models.

Demos for the Claude AI agent SDK, enabling developers to build AI-powered applications and tools.

The official implementation of RAPTOR, a framework for Recursive Abstractive Processing for Tree-Organized Retrieval.

A simple Python implementation of a GRPO-like LLM for reproducing r1-like thinking.

DomainBed is a suite to test domain generalization algorithms for machine learning models.