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Hao He's Projects

advancedml icon advancedml

Reading list for the Advanced Machine Learning Course

align_uniform icon align_uniform

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.

bayesgan icon bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

cida icon cida

[ICML 2020] Continuously Indexed Domain Adaptation

circuit-gnn icon circuit-gnn

[ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/

cs-books icon cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cs229t icon cs229t

Statistical Learning Theory (CS229T) Lecture Notes

domainbed icon domainbed

DomainBed is a suite to test domain generalization algorithms

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

howtocook icon howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

interview icon interview

Everything you need to prepare for your technical interview

jdot icon jdot

Joint distribution optimal transportation for domain adaptation

kactl icon kactl

KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)

l2b icon l2b

This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".

learnedsketch icon learnedsketch

LearnedSketch: Learning-Based Frequency Estimation Algorithms (ICLR 2019)

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