ymmy-han Goto Github PK

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

cv_paperdaily

CV 论文笔记

domain_specific_cl

Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"

efficientresearchwork

Efficient research work environment setup for computer science and general workflow for Deep Learning experiments

grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

pegbis

Python implementation of "Efficient Graph-Based Image Segmentation" paper

pixel-level-contrastive-learning

Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

pytorch-camp

pytorch-learning

self-supervised-fewshot-medical-image-segmentation

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)

the-elements-of-statistical-learning

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman