nanyangye Goto Github PK

adversarial_invariant_learning

bayesiandefense

Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

certified-distributional-robustness

Code for the paper "Certifying Some Distributional Robustness with Principled Adversarial Training"

csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

dpvm

drone-flight-controller

A quadcopter flight controller based on Arduino Uno

entropy-sgd-1

Lua implementation of Entropy-SGD

esp32-picodk

examples

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

gitub.io

Personal Webpage

hdr_toolbox

HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave

jigendg

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

kaggle_diabetic_retinopathy

Fifth place solution of the Kaggle Diabetic Retinopathy competition.

kmeans_pytorch

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

lightcnn

A pytorch implement of "A Light CNN for Deep Face Representation with Noisy Labels"

mnist-pytorch

mpu6050

MPU6050 Arduino Library

mpu6050_light

Lightweight, fast and simple library to communicate with the MPU6050

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mxnet-notebooks

Notebooks for MXNet

nanyangye.github.io

Nanyang Ye's webpage.

ood-bench-tutorial

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pt.darts

PyTorch Implementation of DARTS: Differentiable Architecture Search

t-pt-metric

Code for the paper

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

tutorials

PyTorch tutorials.

ynysjtu.github.io