Hao He's repositories
circuit-gnn
[ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/
AdvancedML
Reading list for the Advanced Machine Learning Course
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
align_uniform
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
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~
DomainBed
DomainBed is a suite to test domain generalization algorithms
GrabGPU
Grab GPU whenever available
HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).
HumanSystemOptimization
健康学习到150岁 - 人体系统调优不完全指南
improved_CcGAN
Continuous Conditional Generative Adversarial Networks (CcGAN)
kactl
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
L2B
This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".
learnedsketch
LearnedSketch: Learning-Based Frequency Estimation Algorithms (ICLR 2019)
Machine-Learning-With-XGboost-live-training
Live Training Session: Machine Learning with XGboost
pidinet
Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).
resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
self_supervised
A Pytorch-Lightning implementation of self-supervised algorithms
SimCLR
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
siren
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
stats205_notes
the public repo for stats205 scribe notes at Stanford University
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Time2Vec-PyTorch
Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf
transferable-bnn-adv-ex
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks