Trending Projects

ImagePlay is a rapid prototyping application for image processing, targeting developers working with computer vision and AI.

A curated list of awesome AI GPT resources, tools, and prompts for developers working with AI-powered coding tools.

Reverse-engineered API for the Alibaba Tongyi Qwen 2.5 large language model, providing AI capabilities like image generation, document analysis, and conversational AI.

A computational framework for reinforcement learning in traffic control and autonomous vehicle management.

StarDist is an object detection library for bioimage analysis and cell segmentation using deep learning.

A search-enhanced large language model toolkit for building AI-powered applications and tools.

Provides ComfyUI nodes to use the Segment Anything Model for advanced image segmentation.

This Python library from UC Berkeley's RAIL lab is focused on reinforcement learning research and applications.

An AI-powered gene editing system for developers working with AI-enabled tools and applications.

A Python framework for sequence labeling evaluation, useful for named-entity recognition and POS tagging.

A Rust library for reviewing mahjong game logs with a compatible mahjong AI.

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms.

This repository contains code for a research paper on a new diffusion-based text generation model.

A C++ plugin that transforms Grand Theft Auto V into a self-driving car research environment

A next-generation object detection model that can detect anything with high accuracy and efficiency.

An open-source quantum computing framework for building, running, and optimizing quantum algorithms.

Crocoddyl is an optimal control library for robot control under contact sequence, focused on legged robotics and motion planning.

A pure Python implementation of Spiking Neural Networks for tasks like MNIST classification.

A high-performance GPU database engine built for AI and machine learning workloads.

Lightweight C/C++ Extended Kalman Filter library with Python for prototyping embedded systems and IoT devices.

A curated list of resources for the Conformal Prediction machine learning technique.

A transformer-based model for neighborhood attention, useful for computer vision tasks.

A Jupyter Notebook project that leverages OpenAI and ChatGPT to perform hacking-related tasks.

High-fidelity performance metrics for generative models in PyTorch

Matterport3D is a dataset for RGB-D machine learning tasks, especially 3D reconstruction and semantic scene understanding.

A powerful named entity recognition tool for building AI-powered applications in Python.

GPU-accelerated deep learning library in Python for building and training neural networks.

Teaching materials for an applied machine learning course at Cornell Tech, suitable for vibe coders.

ezkl is a Rust-based engine for doing inference on deep learning models and computational graphs in zero-knowledge.

Physics-Informed Neural Networks (PINN) Solvers for accelerated simulation and scientific machine learning.

A framework for data augmentation for 2D and 3D image classification and segmentation tasks.

A common in-memory tensor structure for deep learning frameworks written in C++.

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

A reusable, open-source library for building AI-powered Go game agents in a readable manner.

A general object foundation model for computer vision tasks in images and videos at scale

A method to increase the speed and lower the memory footprint of existing vision transformers.

A Python library for generating human-centric videos using collaborative multi-modal conditioning.

Highly performant, modular, and production-ready inference, ingestion, and indexing library built in Rust for AI-powered applications.

A Python library for inspecting and understanding neural network models using PatchCore.

A general-purpose trajectory optimizer for multicopters and quadrotors focused on safe flight corridors and navigation.

A minimal implementation of DeepMind's Genie world model for AI and machine learning research.

DeepRec is a high-performance deep learning recommendation framework based on TensorFlow, hosted in the LF AI & Data Foundation.

DeblurGAN-v2 is a deep learning-based solution for fast and high-quality image deblurring, useful for vibe coders working with computer vision.

A Python project that processes and renders neural networks to gain insights on model architecture and parameters.

A fast, differentiable tensor library in JavaScript and TypeScript with Bun and Flashlight support.

A simple, readable, and helpful unit testing library optimized for AI-driven development workflows.

A Python library for deep learning to decode EEG, ECG, and MEG signals for neuroscience research.

A simple tool to calibrate neural networks and improve their performance.

A fast computer vision library for 3D reconstruction, calibration, tracking, and more, written in Java.

A Python library that adds a 'LoRA' block to the Stable Diffusion web UI for customizing model weights.