haohanwang Goto Github PK

hex

Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out

hex_experiments

For replication of the experiments in the paper Learning Robust Representations by Projecting Superficial Statistics Out

hfc

Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

hw0-haohanw2

hw1-haohanw

icurcoderhelper

imagenet-sketch

ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale

kmm

Kernel Mixed Model

leetcode

My solutions to all the questions on leetcode till 2013

linearmixedeffectmodel

lmm-python

A python linear mixed model package model for GWAS

lrb

coordinate descent for l1-regularized logistic regression with optionally bounded weights

ls-homework6

decision tree in python

ls-homework7

HMM in python

metagenomicsclassification

Codes for Course Project I of 02-715

micedatapreprocessing

mixup_to_random_extreme

multiclientsocket

Socket examples for cpp client, java client, php client to connect with cpp server

naivebayes

neighborhoodselection

ngrampoem

par

Implementation of Patch-wise Adversarial Regularization from "Learning Robust Global Representations by Penalizing Local Predictive Power"

par_experiments

Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))

personalwebsite

pythonpractice

robustar

Interactive Toolbox for Robust Vision Classification

selectadditivelearning

implementation for the paper "Select-Additive Learning: Improving Cross-individual Generalization in Multimodal Sentiment Analysis"

slmmn

snpdatabase

just some random code to organize a snp database

statsmodels

Statsmodels: statistical modeling and econometrics in Python