Harry24k

shap

A game theoretic approach to explain the output of any machine learning model.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

aptos-core

Aptos is a layer 1 blockchain built to support the widespread use of blockchain through better technology and user experience.

captum

Model interpretability and understanding for PyTorch

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

DomainBed

DomainBed is a suite to test domain generalization algorithms

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

OmniXAI

OmniXAI: A Library for eXplainable AI

PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

recoteam

카카오 추천팀 공개 리포지토리입니다.

yashitanamdeo.github.io

My Personal Portfolio Website - V1

explainable-cnn

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

gatsby-theme-portfolio-minimal

A Gatsby Theme to create modern one-page portfolios with a clean yet expressive design.

light-the-torch

Install PyTorch distributions with computation backend auto-detection

GSAM

PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)

viz_torch_optim

Videos of deep learning optimizers moving on 3D problem-landscapes

miro

Official PyTorch implementation of MIRO (ECCV 2022)

cifar-10h

Original dataset release for CIFAR-10H

dataset_difficulty

"Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)

SAN

Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective

InstaHide

InstaHide: Instance-hiding Schemes for Private Distributed Learning

understanding-sam

Towards Understanding Sharpness-Aware Minimization [ICML 2022]

generalization-bounds

Computing various measures and generalization bounds on convolutional and fully connected networks

robust-generalization-measures

Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)

Generative-Semi-supervised-Learning-for-Multivariate-Time-Series-Imputation

Explainability-Study

How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods

arbinet

normalizer-free-robust-training

Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)

DaleSeo.github.io

Dev Blog by Dale Seo