contstriver

drive

Google Drive client for the commandline

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

tmi2022

A graph-transformer for whole slide image classification

BCSS

Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

Awesome-Multimodal-Research

A curated list of Multimodal Related Research.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

PLMpapers

Must-read Papers on pre-trained language models.

algorithm-base

一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

coding-interview-university

A complete computer science study plan to become a software engineer.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

Hyperspectral-Image-Super-Resolution-Benchmark

A list of hyperspectral image super-solution resources collected by Junjun Jiang

simple_CycleGAN

a simplified pytorch CycleGAN implementation adapted from original code

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

cycada_release

Code to accompany ICML 2018 paper

PyTorch-CycleGAN

A clean and readable Pytorch implementation of CycleGAN

PaperReading

deep-image-prior

Image restoration with neural networks but without learning.

HSI-SR-GDRRN

Single Hyperspectral Image Super-Resolution with Grouped Deep Recursive Residual Network

deepdish

Flexible HDF5 saving/loading and other data science tools from the University of Chicago

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

python-guide

Python best practices guidebook, written for humans.

pytorch-examples

Simple examples to introduce PyTorch

edge-connect

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration