Trending AI reposUpdated daily from GitHub

Classification with PyTorch.

PyTorch for Semantic Segmentation

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

High-performance automatic differentiation of LLVM and MLIR.

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Deep probabilistic analysis of single-cell and spatial omics data

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

A lightweight library for PyTorch training tools and utilities

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

PyTorch tutorials and best practices.

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

A PyTorch-based knowledge distillation toolkit for natural language processing

算法工程师-机器学习面试题总结

Code release for Local Light Field Fusion at SIGGRAPH 2019

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

Simulation of spiking neural networks (SNNs) using PyTorch.

CakeChat: Emotional Generative Dialog System

YomiTokuはAIを活用した日本語文書解析エンジンを提供するPythonパッケージです。 Yomitoku is an AI-powered document image analysis package designed specifically for the Japanese language.

Deep learning for recommender systems

Google, Naver multiprocess image web crawler (Selenium)

Implementation of Alphafold 3 from Google Deepmind in Pytorch

Nx-powered Neural Networks

A selection of state-of-the-art research materials on trajectory prediction

A unified framework for Deep Learning Models on tabular data

A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.

🙄 Difficult algorithm, Simple code.

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

三角洲行动OBS锁头插件（电脑端&手机端） – 基于OBS渲染注入的智能锁头辅助，支持QQ音乐/网易云联精准骨骼识别、平滑自瞄、压枪抑制，稳定过检，提升击杀效率。5L2G5YW25a6e5Lul5LiK5YWo5piv6aqX5L2g55qE77yM6L+Z5Y+q5piv5Liq5biu5L2g5a6J6KOF5pqX5Yy656qB5Zu055qE5Y+N5L2c5byK6aG555uu572i5LqG

TensorLy: Tensor Learning in Python.

Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

An offline deep reinforcement learning library

NYU Deep Learning Spring 2021

A state-of-the-art semi-supervised method for image recognition

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

Sionna: An Open-Source Library for Research on Communication Systems

[ICCV 2017] Torch code for Grad-CAM