Trending Projects

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

A TensorFlow library for learning distributed representations of code using the code2vec neural network model.

An AutoML framework & toolkit for machine learning on graphs, using PyTorch and PyTorch Geometric.

Res2Net-PretrainedModels is an official PyTorch implementation of the Res2Net multi-scale backbone architecture for computer vision tasks.

A Python benchmark suite for evaluating text-to-3D generation models and techniques.

A book focused on guiding the structure of Machine Learning projects and understanding how ML algorithms work.

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

A desktop application that allows you to chat with your local documents using large language models.

This repository contains code and material for a book on deep learning and the game of Go, focused on the AlphaGo and AlphaGo Zero algorithms.

Open-source optical flow toolbox and benchmark for computer vision tasks powered by PyTorch.

An image-text multimodal deep learning model for object detection and recognition.

An open-source platform for logging and analyzing OpenAI API usage, including cost tracking and prompt improvement.

A Telegram bot built with Python and OpenAI's API, allowing users to interact with ChatGPT.

A modular Stable Diffusion web UI with a focus on making AI tools easily accessible and extensible.

A machine learning package built to make AI-powered development more accessible for developers.

Framework for routing LLM requests to optimize costs while maintaining response quality

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters for distributed machine learning.

A project that reimplements the 'Dive into Deep Learning' book's MXNet examples using TensorFlow 2.0 for vibe coders.

A deep learning-based project for creating line art portraits using Jupyter Notebooks.

StarGAN v2 is an open-source PyTorch implementation of a powerful generative model for diverse image-to-image translation.

Official PyTorch implementation of the SinGAN paper, a generative model that can be trained on a single natural image.

A PyTorch library for training Siamese and triplet networks for learning embeddings and similarity.

Deep learning model for extracting & analyzing table structures from PDFs and images with datasets.

A Chinese OCR (Optical Character Recognition) library built using CTPN, DenseNet, and CTC.

An open-source computer vision framework for building machine vision applications in Python.

tfgo provides a Go-friendly Tensorflow API, allowing Go developers to build AI-powered applications.

An experimental physical interface for the NSynth algorithm, a deep learning-based audio synthesizer.

A comprehensive collection of resources for human pose estimation using computer vision and deep learning.

A high-quality open-source PyTorch implementation of the WaveNet vocoder, a neural network for speech synthesis.

Jupyter notebooks for learning and using the Keras deep learning library

Submanifold sparse convolutional networks for efficient deep learning on 3D data

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym.

A collection of tutorials and implementations for various deep learning algorithms using TensorFlow.

A PyTorch implementation of a paper on artistic style transfer for videos.

A deep learning-based 3D object detection library for point cloud data, useful for robotics and autonomous systems.

A collection of 50 tips and tricks for using the scikit-learn machine learning library in Python.

Real-time multi-person tracking using YOLO v3 and deep_sort with TensorFlow for computer vision applications.

A high-performance text-to-3D generation model for building immersive 3D experiences with AI tools.

MotionCtrl is an official code repository for a SIGGRAPH 2024 project focused on AI-powered motion control tools.

A PyTorch implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) for developers interested in AI-powered image generation.

Algorithmic trading experiments using deep learning techniques, primarily focused on the OpenEdge ABL language.

A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.

A Python implementation of training for GPT2, supporting TPUs for AI-focused developers.

An OpenMMLab toolkit for 3D human parametric model development and benchmarking.

An open-source platform for medical image analysis and image-guided therapy research using deep learning.

OKVIS is an open-source library for visual-inertial SLAM, enabling real-time 3D reconstruction from camera and IMU data.

A fast and efficient computer vision library for edge devices, supporting face, head, pedestrian, and vehicle detection.

A PyTorch implementation of a voice separation algorithm for mixed audio with multiple speakers.

MLOps tool for building and deploying machine learning models on Azure cloud services

A Python-based tool that allows customizing the 'cutoff' effect in Stable Diffusion, a popular AI-powered image generation model.