andrehuang

NostalgicAdam-NosAdam

[IJCAI'19] Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate

Algorithms-in-Big-Data-Analysis

Code for the corresponding course at PKU.

InterpretableCNN

Interpretable CNN (in TensorFlow).

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

ConfigurationFiles

configuration files, such as repo (download android source file)、.git-completion.bash(git autocomplete bash)

deep_Mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

facenet

Face recognition using Tensorflow

FGSM-pytorch

A pytorch implementation of "Explaining and harnessing adversarial examples"

Glow-PyTorch

Simple, extendable, easy to understand Glow implementation in PyTorch

homepage

Code that'll help you kickstart a personal website that showcases your work as a software developer.

insightface

Face Recognition Project on MXNet

LabelPropagation

A simple implementation of Label Propagation.

loss-landscape

Code for visualizing the loss landscape of neural nets

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

neural-tangent-kernel-UCI

Testing Nerual Tangent Kernel (NTK) on small UCI datasets

NTK

Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

ood-detection

Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"

over9000

Over9000 optimizer

PDE-Net

PDE-Net: Learning PDEs from Data

phd

A list of resources on how/why to do a PhD

post--grand-tour

pytorch-adversarial-training

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

pytorch-beginner

pytorch tutorial for beginners

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

RAdam

On the Variance of the Adaptive Learning Rate and Beyond

turbo-http

Blazing fast low level http server

vision

Datasets, Transforms and Models specific to Computer Vision

WSL-Images

Weakly Supervised Learning On Images