Trending Projects

A platform for building and sharing AI-powered conversational skills for SUSI.AI.

An open-source AI-powered chatbot that can be used for various conversational tasks.

A simple and efficient Mamba implementation in pure PyTorch and MLX for AI-driven development.

An open-source Python package for extracting radiomics features from 2D and 3D medical images and binary masks.

A starter kit to build local-only AI apps that cost $0 to run, focused on document Q&A.

A Torch implementation of an object detection network from the research paper 'A MultiPath Network for Object Detection'.

A novel neural operator called Involution that can be used for image classification, object detection, and other computer vision tasks.

A dataset of mathematical reasoning problems for evaluating AI systems.

A curated list of delightful npm packages that showcase the 'wow' factor of JavaScript and Node.js development.

Distribute and run AI workloads on Kubernetes with a Python-based infrastructure toolkit like PyTorch.

A high-performance 3D Gaussian Splatting rasterizer for rendering AI-generated graphics.

A tutorial repository for PyTorch Geometric, a library for deep learning on graphs and other structured data.

A PyTorch library for image synthesis and editing using stochastic differential equations.

A curated collection of must-read papers and blogs on speculative decoding techniques for developers.

A Chinese medical consultation large language model for healthcare professionals and researchers.

An open-source ML system for the end-to-end data science lifecycle, including Java and Python support.

Open-source project for medical image segmentation using the Segment Anything Model (SAM) from Anthropic

A powerful AI-powered image segmentation tool for developers and designers to quickly annotate and label images.

A Python library for eye tracking that can be used for a variety of applications.

An AI-powered tool to upscale images by 4x while preserving photo-realistic details, built using TensorFlow.

A PyTorch-based library for unsupervised learning of depth, disparity, and other visual features from monocular video.

MALLET is a Java-based machine learning library for natural language processing tasks like classification, clustering, and topic modeling.

Comprehensive set of notes and exercise solutions for learning Scikit-Learn, Keras, and TensorFlow for machine learning and deep learning.

An open-source post-building layer for AI agents, providing environment data and evaluations to power agent post-training and monitoring.

Tensorflow code for the Bayesian GAN, a generative adversarial network with Bayesian uncertainty modeling.

This repository contains implementations of Neural Process variants for machine learning research.

VybeGuide.ai discovery platform for vibe coders

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

An open-source AI wearable that transcribes and stores your conversations, enabling a personalized AI assistant.

Generate, animate, and schedule AI characters for your workflow, powered by large language models.

A high-performance I/O system for large deep learning problems with strong PyTorch support.

Curated list of resources for building autonomous vehicles and self-driving car technology

A plugin for Stable Diffusion web UI that enables motion transfer from one video to another.

Manage multiple vector databases (Pinecone, Chroma, Qdrant, Weaviate) with a universal tool suite.

A Chinese prompt plugin for the Stable Diffusion WebUI, providing a library of prompts for AI-assisted image generation.

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

A generic U-Net implementation in TensorFlow for image segmentation tasks.

A collection of coding examples using the GPT-5 language model for various AI-powered coding tasks.

A curated list of knowledge graph related learning materials, databases, tools, and other resources.

Official implementation of a paper on expressive talking head generation using diffusion models.

A Python library for advanced audio and music signal processing tasks, useful for vibe coders building AI-powered music apps.

A PyTorch implementation of the Non-local Block, a key component in computer vision models.

MLeap is a library for deploying machine learning pipelines to production using Scala, Python, and Spark.

A comprehensive Python library for time series forecasting using machine learning models.

A robust multi-pedestrian tracking library built with PyTorch, YOLO, and other computer vision techniques.

Tensor Algebra Compiler (taco) is a C++ library for computing sparse tensor expressions on CPUs and GPUs.

A toolkit for time series machine learning and deep learning, focused on data-mining and forecasting.

An efficient framework for fast UAV exploration and autonomous navigation using C++.

Realtime head pose estimation using ONNX and OpenCV for computer vision and AI applications.

Attention-based model for learning to solve different routing problems, useful for AI coding tools.