Trending Projects

A high-quality neural network-based 3D generative model for producing realistic images of faces and objects.

A Python-based service that allows developers to use large language models (LLMs) as a chatbot backend.

Convert code repos into an LLM prompt-friendly format, mostly built by GPT-4.

YAD2K is a Python library that provides a Keras-based implementation of the YOLO (You Only Look Once) object detection model.

A book on feature engineering for machine learning, written in Python and JavaScript.

Interactive Go programming with Jupyter, enabling data science and machine learning workflows.

A Keras implementation of BERT for feature extraction and prediction tasks.

An open-source large language model for Chinese and English, with over 100 billion parameters.

R-CNN: Regions with Convolutional Neural Network Features, a MATLAB library for object detection using deep learning.

Bare-bones examples of machine learning in TensorFlow for developers working with AI tools.

A framework for generating realistic human images using a Liquid Warping GAN with Attention.

A repository containing a visual explanation of the TensorFlow source code for developers.

A TensorFlow template application for building deep learning models and deploying them to production.

This is a minimal machine learning study plan for developers interested in learning ML concepts and techniques.

This repository contains the original code from the DeepMind Atari Deep Q-Learner article with some tweaks.

A high-fidelity, temporally coherent video editing library for AI-powered video applications.

A distributed real-time machine learning platform built on Apache Spark and Kafka for large-scale workloads.

A collection of awesome and classical papers on content-based image retrieval (CBIR) and visual search.

A reverse-engineered ChatGPT proxy server built with Rust, allowing developers to integrate ChatGPT-like functionality into their applications.

A series of code large language models developed by PKU-KCL for AI-powered coding and developer tooling.

A guide to learn about Transformer models, a foundational architecture for natural language processing.

Macaw-LLM is a multi-modal language modeling framework that integrates image, video, audio, and text data.

Kernl is a library that lets you run PyTorch transformer models several times faster on GPU with a single line of code.

This 2D Unity simulation allows cars to learn to navigate through different courses using a feedforward neural network and genetic algorithm.

A PyTorch implementation of OpenAI's pre-trained transformer language model for fine-tuning and inference.

A machine learning platform and recommendation engine built on Kubernetes for deployment on cloud platforms.

A BERT-based knowledge graph question-answering system with online and offline modes.

Concise PyTorch implementations of popular deep reinforcement learning algorithms like REINFORCE, A2C, DQN, PPO, DDPG, TD3, and SAC.

Open-source Python library for person re-identification using deep learning and metric learning.

A primitive C++ library for building neural networks, aimed at developers working with AI tools.

A PyTorch library for training generative adversarial transformer models for image generation.

A desktop frontend for Stable Diffusion with inpainting, img2img and more capabilities for AI-powered image generation.

A Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation

Pretty Tensor is a fluent interface for building TensorFlow models in Python, making it easier for developers to work with AI.

A generalized information-seeking agent system with Large Language Models (LLMs) for vibe coders.

A high-performance, strongly-typed language and JIT compiler for building AI and ML applications.

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

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

A C++ library for building machine learning applications, revitalizing C++ as a ML front-end.

A C++ library for 3D mapping and segmentation, potentially useful for robotics and computer vision applications.

A book on using the Julia programming language for statistics and machine learning tasks.

CNTK is an open-source deep learning toolkit for training and deploying AI models.

A comprehensive collection of CVPR conference papers, code, and interpretation resources for computer vision and deep learning enthusiasts.

A powerful library that simplifies the development of custom machine learning models using Python.

A deep learning library for generating and manipulating images, including semantic style transfer.

Official implementation of a paper on multilingual visual text generation and editing using AI.

An offline, cross-platform LLM that can pass the US Medical Licensing Exam, with private health data storage.

A Python library for text preprocessing, representation, and visualization in machine learning and NLP projects.

A distributed graph deep learning framework for building graph-based AI models and applications.

A general-purpose machine learning library for Python, useful for a variety of AI and ML tasks.