Papers from the computer science community to read and discuss.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

A resource repository for 3D machine learning

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

Curated list of awesome GAN applications and demo

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Papers on Computational Advertising

A comprehensive collection of recent papers on graph deep learning

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

A list of learning materials to understand databases internals

Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

A curated list of deep learning image classification papers and codes

A curated list of awesome embedding models tutorials, projects and communities.

Paper list and source code for multi-object-tracking

Awesome-pytorch-list 翻译工作进行中......

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

Cool vision, learning, and graphics papers on Cats!

😎 face releated algorithm, dataset and paper

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

Resources, datasets, papers on Question Answering

A curated list of papers, code and resources pertaining to zero shot learning

Powerful and highly extensible command-line based document and bibliography manager.

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Visual Q&A reading list

The best resources around Machine Learning

视觉(语义) SLAM 相关研究跟踪

Papers for deep neural network compression and acceleration

Scientific time series and deep learning state of the art