Trending Projects

An agentic Machine Learning Engineer toolkit for AI-focused developers and researchers.

A library for few-shot learning using prototypical networks, based on a NeurIPS 2017 paper.

A high-performance, end-to-end deep learning-based captcha recognition model for developers.

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

MeZO: A novel fine-tuning method for language models that requires just forward passes, ideal for vibe coders.

A deep learning-based library for human pose estimation using the TensorFlow framework.

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

A C++ library for trajectory optimization of legged robots, useful for robotics and motion planning.

Simple and ready-to-use tutorials for the TensorFlow deep learning framework.

A library for generating psychedelic images using a deep learning algorithm.

EasyLM is a one-stop solution for pre-training, fine-tuning, evaluating, and serving large language models (LLMs) in JAX/Flax.

A dataset of annotated 3D object videos for training computer vision and augmented reality models.

A free, open-source browser extension to filter NSFW content using TypeScript and TensorFlow.js.

Assignments for a deep reinforcement learning course, focused on AI and machine learning

Code repository for a book on feature engineering for machine learning

A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.

A JavaScript library for building reinforcement learning agents, covering various RL algorithms.

A TypeScript-based AI agent for analyzing Twitter user personalities through machine learning.

A collection of concise and beautiful algorithms written in the Julia programming language.

An open-source differentiable dense SLAM library for PyTorch, focused on 3D reconstruction and robotics.

A simple facial recognition API for .NET that works on Windows, macOS, and Linux with support for various ML tasks.

A header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.

Deprecated library for building GPU-accelerated machine learning applications using AMD's ROCm platform.

An autonomous AI racecar using NVIDIA Jetson Nano for robotics and IoT development.

A Python library for machine learning, statistics, and data mining in astronomy and astrophysics.

Unsupervised language modeling and robust sentiment classification for AI/ML developers.

A PyTorch implementation of AnimeGANv2, a powerful AI-driven image style transfer tool.

LSD-SLAM is a real-time monocular SLAM (Simultaneous Localization and Mapping) algorithm written in C++.

Real-time dense visual SLAM system for 3D reconstruction using C++, CUDA, and SLAM techniques.

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

Nx-powered Neural Networks library for building deep learning models in Elixir

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

A Python library that provides agent techniques to augment and push the limits of large language models (LLMs).

Official TensorFlow implementation of the Noise2Noise: Learning Image Restoration without Clean Data paper.

A deep learning-based face detection and recognition library implemented in PyTorch for developers working with computer vision.

Python library for solving basic Russian NLP tasks, with an API for lower level Natasha projects.

A C++ library for running machine learning models on Arm hardware accelerators.

A curated collection of resources on applying Transformers to medical imaging tasks like segmentation, classification, and synthesis.

A Python library for reconstructing watertight meshes from point clouds using deep learning.

An explainability toolbox for developers building machine learning models with interpretability and fairness in mind.

Official PyTorch implementation of VoxFormer, a state-of-the-art 3D computer vision model for autonomous driving and scene understanding.

A high-quality lip sync tool using deep learning techniques like GFPGAN and Wav2Lip.

Open-source projects related to trustworthy AI, including causal discovery, causal inference, and causality.

Powerful workflow engine and end-to-end pipeline solutions implemented with native Kubernetes resources.

RAGChecker is a fine-grained framework for diagnosing RAG (Retrieval-Augmented Generation) models.

A collection of Keras code and pre-trained weights for popular deep learning models.

A deep learning visualization toolkit that helps developers understand and debug their AI models.

A browser-based implementation of the Stable Diffusion AI model, enabling in-browser image generation.

An open-source deep learning-based tool for automatic colorization of grayscale images.

A PyTorch implementation of the FCOS one-stage object detection model for computer vision tasks.