Trending Projects

PyTorch implementation of the MoCo self-supervised learning framework for computer vision tasks.

This repository provides a PyTorch implementation for monocular depth estimation from a single image.

Preswald is a WASM packager for Python-based interactive data apps that can be run completely in-browser.

OpenMMLab's model deployment framework for optimizing and deploying computer vision models across various backends.

A repository for practical deep learning projects including image recognition and classification.

An open-source platform for evaluating and improving Generative AI applications with 20+ preconfigured checks and root cause analysis.

A photorealistic synthetic dataset for holistic indoor scene understanding using machine learning.

A hybrid A* path planner for the KTH Research Concept Vehicle, focused on robotics and motion planning.

A Python library for natural gradient boosting, a powerful technique for probabilistic prediction.

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

A Temporal Graph Convolutional Network for predicting urban traffic flow using time-series data.

A comprehensive library of PyTorch tutorials and best practices for deep learning and machine learning developers.

A curated list of resources for everything related to deepfakes and face-swapping technology.

This is a combined repository for the RTX-Remix runtime and toolkit, focusing on path-tracing and RTX features.

A Python library for computations and statistics on manifolds with geometric structures, useful for AI/ML developers.

A lightning-fast AI chatbot that provides live interactive stock charts, financials, news, and more, powered by Llama3-70b on Groq.

This project is a PyTorch implementation of diffusion models, a powerful generative AI technique.

A curated list of Machine Learning, AI, and NLP solutions for iOS development.

SALMONN is a suite of advanced multi-modal large language models (LLMs) for audio, speech, and video understanding.

This is a library that explores using Fourier features to help neural networks learn high-frequency functions.

A zero-shot image editing tool that allows users to transfer textures and styles from reference images.

A PyTorch library for monocular depth estimation using deep learning techniques.

Lightweight Python library for scraping websites using large language models (LLMs) and the Playwright browser automation tool.

A collection of papers, toolboxes, and notes related to LiDAR-Camera calibration and fusion.

A C++ library for unsupervised sentence representation learning, useful for AI-powered coding tools.

A Python library for automated neural architecture search, enabling AI-powered model discovery.

A zk-SNARK library written in Rust for building cryptographic applications.

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

Dynamiq is an orchestration framework for agentic AI and LLM applications, enabling developers to build advanced AI-powered tools.

A pure JavaScript demo of ChatGPT based on the OpenAI API, useful for developers exploring AI-powered chatbots.

A compression toolkit for YOLOv5 with support for various backbones, modules, and deployment options.

AutoKeras is an open-source AutoML library for deep learning that automates the model selection and hyperparameter tuning process.

This is a Python implementation of the Faster R-CNN object detection algorithm.

A Caffe-based implementation of the waifu2x image upscaling and noise reduction model.

Open-source PyTorch library for building neural machine translation and language models.

A curated list of papers and resources on neural radiance fields (NeRF), a powerful technique for 3D scene representation.

A comprehensive visual classification and recognition library powered by the PaddlePaddle deep learning framework.

Unofficial PyTorch implementation of an image super-resolution model using iterative refinement.

A Python library for character animation and face reenactment using AI-powered tools.

An index of algorithms for learning causality with data, useful for vibe coders working on AI-powered applications.

A PyTorch-based computer vision foundation model with deformable convolutions for object detection and segmentation.

Bayesian optimization & Reinforcement Learning library for AI/ML developers from Huawei Noah's Ark Lab

Complete LLM training implementation: pretraining, SFT, DPO, and RLHF from scratch in Python

A high-performance YOLO-based face detection model for computer vision applications.

Advanced implementation of the LOAM (Lidar Odometry and Mapping) algorithm for lidar-based SLAM.

A GUI tool for image upscaling using the ESRGAN deep learning model.

An all-in-one computer vision toolkit for developers building AI-powered applications.

A project that provides a collection of pre-trained deep learning models for image classification tasks.

A PyTorch implementation of the Faster R-CNN object detection algorithm that can be trained on VOC dataset.

This GitHub repository contains a Python project that uses reinforcement learning to train an AI to play the game 'King of Glory'.