sulimin-nb Goto Github PK

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ai-deadlines

:alarm_clock: AI conference deadline countdowns

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

csgmcmc

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

cv-

cv入门-datawhale

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

cycada_release

Code to accompany ICML 2018 paper

daily-interview

deeplearningbook-chinese

Deep Learning Book Chinese Translation

image_processing2

learngit

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

mdd

Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

ml-cvpr2019-swd

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. In CVPR 2019.

msdnet-gcn

ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction

nlp

pandas2

probability-statistics-learning

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-lesson-zh

pytorch 包教不包会

pytorch-tutorial

Build your neural network easy and fast

school-of-ai-beijing

School of AI 北京

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

statisticallearningmethod-camp

统计学习方法训练营课程作业及答案

sulimin-nb.github.io

team-learning

Datawhale组队学习计划与课程内容