Pinned Repositories
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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
pytorch-lesson-zh
pytorch 包教不包会
sulimin-nb.github.io
sulimin-nb's Repositories
sulimin-nb/pytorch-lesson-zh
pytorch 包教不包会
sulimin-nb/sulimin-nb.github.io
sulimin-nb/-
sulimin-nb/ai-deadlines
:alarm_clock: AI conference deadline countdowns
sulimin-nb/awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
sulimin-nb/csgmcmc
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
sulimin-nb/cv-
cv入门-datawhale
sulimin-nb/cvpr2019
cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理
sulimin-nb/cycada_release
Code to accompany ICML 2018 paper
sulimin-nb/Daily-interview
sulimin-nb/deeplearningbook-chinese
Deep Learning Book Chinese Translation
sulimin-nb/Image_processing2
sulimin-nb/learngit
sulimin-nb/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]
sulimin-nb/MDD
Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".
sulimin-nb/ml-cvpr2019-swd
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. In CVPR 2019.
sulimin-nb/MSDNet-GCN
ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction
sulimin-nb/NLP
sulimin-nb/pandas2
sulimin-nb/Probability-Statistics-Learning
sulimin-nb/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
sulimin-nb/PyTorch-Tutorial
Build your neural network easy and fast
sulimin-nb/school-of-ai-beijing
School of AI 北京
sulimin-nb/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
sulimin-nb/StatisticalLearningMethod-Camp
统计学习方法训练营课程作业及答案
sulimin-nb/team-learning
Datawhale组队学习计划与课程内容