fengweie Goto Github PK

1st-in-miccai-gamma-2021-challenge

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-knowledge-distillation

Incredible transferring knowledge techniques with Knowledge distillation

awesome-knowledge-distillation-1

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesomecv

记录state-of-art计算机视觉相关论文。

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

bapa-net

Code for BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic Segmentation

beal

code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

bert

bigdata18

Transfer learning for time series classification

bnm

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

brain2movie

braindecode

A deep learning toolbox to decode raw time-domain EEG.

braindecode-modules

Additional modules to be used with the core of braindecode.

bus-gan

Semi-supervised Segmentation of Tumors from Breast Ultrasound Images with Attentional Generative Adversarial Network

camelyon16

Evaluation code for CAMELYON16 challenge.

canet

cascade-parallel

cmfboneseg

Segmentation of Craniomaxillofacial Bony Structures from MRI with A Cascade Deep Learning Framework

confusion

Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"

cram

crst

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

cs-notes

我的自学笔记，在学习ML System，整理C++、算法、操作系统，后续学习分布式系统，终身更新。

cs231n-mammogram

Classify mammograms as benign/malignant, using the CBIS-DDSM dataset. Class project for CS231n at Stanford

cv-news

Summarize the paper and code in Semantation(Semantic Segmentation,2D Medical Segmentation,3D Medical Segmentation,Instance Segmentation,Panoptic Segmentation)