XintianHan

ADV_ECG

Code for Deep learning models for electrocardiograms are susceptible to adversarial attack

Survival-MDN

ddlk

Deep direct likelihood knockoffs

Marginbound

Explore the margin bounds of the different networks

paper-reading

research interest / paper reading

adversarial-example

Crafting Adversarial Examples with PyTorch

annotated_reference

Annotated reference for my research

awesome-ehr-deeplearning

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

cleverhans

A library for benchmarking vulnerability to adversarial examples

deep-learning-gpu-box-build-instructions

Instructions and parts for building a deep learning GPU box

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

explanations

IndRNN_pytorch

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

jets

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

MLHC2018-reproducible-survival-seer

Machine Learning for Healthcare 2018 - Reproducible Survival Prediction with SEER Cancer Data

nlp_2018

nlp homework

playground

PlayGround: AI Research into Multi-Agent Learning.

PRMLT

Matlab code for machine learning algorithms in book PRML

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

pytorch-wavenet

An implementation of WaveNet with fast generation

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

Roadmap2AGI

SBL-LSTM-Net

SP19-DL-collaborative-notes

Collaborative lecture notes for Spring '19 NYU DL class

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

vision

Datasets, Transforms and Models specific to Computer Vision

WassersteinGAN

X-CAL