Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

solution of LeetCode by Python & Java

Papers, code and datasets about deep learning and multi-modal learning for video analysis

A curated list of awesome self-supervised methods

paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code

A library for efficient similarity search and clustering of dense vectors.

"Efficient Neural Architecture Search via Parameter Sharing" implementation in PyTorch

Differentiable architecture search for convolutional and recurrent networks

Automatic architecture search and hyperparameter optimization for PyTorch

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

My blogs and code for machine learning. http://cnblogs.com/pinard

An unofficial implementation of Google Brain's research in 2018

Fast Autoaugment implementation for PyTorch

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Learning Type-Aware Embeddings for Fashion Compatibility

PyTorch implementation of AutoAugment.

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

Google AI 2018 BERT pytorch implementation

Improving Consistency-Based Semi-Supervised Learning with Weight Averaging

PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning

Unsupervised Domain Adaptation Papers and Code

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

Simple example architecture for using NGINX / Gunicorn / Flask