Trending Projects

An open-source Jupyter Notebook project that showcases AI-powered writing and generation capabilities.

A fast and accurate multi-object tracking library for real-time applications.

A lightweight 3D Morphable Face Model library in modern C++ for computer vision and image processing.

Tutorial materials for the scikit-learn machine learning library in Python.

A curated list of awesome PyTorch libraries, models, and tutorials in Chinese translation.

Deep Clustering for Unsupervised Learning of Visual Features, a research project from Facebook AI.

A Chinese Named Entity Recognition (NER) library built with PyTorch and TensorFlow

Unsupervised image classification library using contrastive learning and SCAN algorithm.

A toolbox for adversarial robustness research, focused on building more secure machine learning models.

A Python library for segmenting retinal blood vessels using a convolutional neural network.

This is a Python 3 implementation of the examples from the book 'Machine Learning in Action'.

A machine learning library for transportation data imputation and prediction.

MiniSora is a community exploring the implementation and future development of the Sora video generation platform.

A new padding scheme for convolutional neural networks using partial convolution-based padding.

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

Open-source audio annotation tool for machine learning and speech processing datasets.

SETR is a transformer-based approach for rethinking semantic segmentation from a sequence-to-sequence perspective.

Official PyTorch implementation of the NVAE deep hierarchical variational autoencoder for AI and ML developers.

A simple Python script demonstrating the backpropagation algorithm for training a neural network.

A Keras model that generates HTML code from hand-drawn website mockups using an image captioning architecture.

Open-source code repository for realtime multi-person pose estimation, a key computer vision task.

A comprehensive roadmap and collection of resources for learning and building deep learning applications.

An open-source tool for outpainting with Stable Diffusion on an infinite canvas, built with Python.

A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.

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

A PyTorch implementation of the Wasserstein GAN (WGAN) algorithm for generative adversarial networks.

AI subtitle generator for video with DaVinci Resolve integration, speaker diarization, runs locally.

A fast coreference resolution library built on top of spaCy and neural networks for natural language processing.

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

An open-source multi-modal AI model based on LLaMA-3.8B for vibe coders to build with AI tools.

Tracery is a JavaScript library for generating stories and text using grammars.

Open-source code for a PixelCNN++ model, a powerful generative model for image generation.

Deep learning model to analyze a large corpus of clear text passwords.

A comprehensive collection of OpenCV 4.0 tutorials with Python, suitable for developers working with computer vision.

A PyTorch-based library for object detection on KITTI and NuScenes datasets using the SECOND algorithm.

A PyTorch implementation of the Pyramid Scene Parsing Network (PSPNet) for computer vision tasks.

Code and models for Temporal Segment Networks (TSN) for action recognition in video understanding.

An open-source feature selection repository in Python for machine learning tasks.

A reactive runtime for building durable AI agents using Rust, with a focus on LLM orchestration and debugging.

Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.

An open-source Python library for improving the quality of audio signals using neural networks.

An implementation of a novel language model architecture for large language models.

A deep learning toolkit for drug discovery, drug-target interaction, and protein function prediction.

A Python utility for hot-reloading code without losing state, useful for AI/ML development.

A flexible and powerful library to develop your own Transformer variants for AI/ML applications.

A high-quality image upscaler plugin for the Stable Diffusion WebUI, powered by AI technology.

CatBoost tutorials repository providing hands-on examples and guides for the open-source machine learning library.

A Python library that generates 3D textured meshes from text prompts using 2D text-to-image models.

A collection of Jupyter Notebooks focused on building tools and agents for large language models (LLMs).

PyTorch implementation of Barlow Twins, a self-supervised learning technique for computer vision tasks.