3bao,github

awesome-noisy-labels

A Survey

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

clean-code

Book review: A Handbook of Agile Software Craftsmanship

cleanlab

The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.

clip

Contrastive Language-Image Pretraining

cmc

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

coca-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

conta

Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

cyctr-pytorch

CyCTR implemented using pytorch

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

entropic_image_contrast_measure

A novel measure of contrast in image based on entropy distribution of pixel color values. Very effective in measuring even subtle changes in exposure level of the same scene.

generalized-odin-tf

TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data (https://arxiv.org/abs/2002.11297).

globaldiagnostix

Code and stuff written for my work on http://globaldiagnostix.org/

interview

Interview questions

lddg

The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NIPS 2020.

leetcode-master

LeetCode 刷题攻略：配思维导图，100+经典算法题目刷题顺序、经典算法模板、共40w字的详细图解，以及难点视频题解。按照刷题攻略上的顺序来刷题，让你在算法学习上不再迷茫！🔥🔥给个star支持一下吧！🚀

leetcode-py

And they say Python is slow...

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

moco

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

moco-1

Unofficial pytorch implementation of MoCo : Momentum Contrast for Unsupervised Visual Representation Learning

moco-2

A PyTorch implementation of MoCo based on CVPR 2020 paper "Momentum Contrast for Unsupervised Visual Representation Learning"

one-shot-object-detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

paper-reading

深度学习经典、新论文逐段精读

pnml_ood_detection

Out-of-distribution detection using the pNML regret. NeurIPS2021

protocols

Generic acquisition protocol for quantitative MRI of the spinal cord

python-offer

《剑指Offer》面试题Python实现

self-label

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

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