Trending Projects

An open-source deep learning based image retrieval toolbox built on PyTorch for AI and ML developers.

A lightweight library to convert and run ML/DL models in high-performance inference runtimes like TensorRT, TorchScript, ONNX, and TVM.

Starter code for solving real-world text data problems using NLP techniques like Gensim Word2Vec and text classification.

A Python library that implements statistical learning methods from the book 'Statistical Learning Methods' by Li Hang.

A face recognition library for Go that uses the dlib computer vision library.

RAG Search API is a Python library that provides a search engine API powered by Retrieval Augmented Generation (RAG) models.

A PyTorch library for building Single Headed Attention RNNs, a novel type of neural network for AI applications.

A redundancy-aware KV cache compression library for improving reasoning model performance.

PromptChains helps developers maximize the intelligence and results of their prompts when using large language models (LLMs).

Official code for an open-source library for scaling up expressive human pose and shape estimation using AI.

Automated scripts to collect AI-related research papers for the MLNLP community

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

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.

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

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

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

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

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

High-fidelity performance metrics for generative models in PyTorch

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

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

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.

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

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

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

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

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

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

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

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

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

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

A Python framework for comprehensive diagnosis and optimization of AI agents using simulated, realistic synthetic interactions.

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

Open-source COVID-19 detection tool using chest radiography images and deep learning models.

A tool that uses machine learning models to generate prompts for AI image generation apps like Midjourney and Stable Diffusion.

A scalable time-series machine learning library built with Polars for parallel feature extraction and forecasting.

An open-source toolkit for deep learning-based recommendation with TensorFlow.

A Python library for training speaker recognition models using the VoxCeleb dataset.

This is a deep Q learning demonstration using Google's TensorFlow library for AI and machine learning.

Baseline systems for the DuReader dataset, a Chinese machine reading comprehension dataset.

A Rust library that provides a powerful and expressive syntax for building AI-powered applications.

Kimi-VL is a multimodal AI model for advanced vision-language understanding and reasoning.

Active learning library for training machine learning models more efficiently.

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

A neural 3D mesh renderer library for creating photorealistic 3D scenes from images.

A Python library that uses a neural network to provide autocomplete for writing neural network code.

An open-source Mathematica Kernel written in Python with built-in functions, variables, and a parser/evaluator.