mpezeshki

pytorch_forward_forward

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

Gradient_Starvation

Gradient Starvation: A Learning Proclivity in Neural Networks

Epoch_wise_Double_Descent

Official implementation of "Multi-scale Feature Learning Dynamics: Insights for Double Descent".

mpezeshki.github.io

A-_Guide_-to_Data_Sciecne_from_mathematics

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

DD

Deep-Double-Descent

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

directional-fibers

DomainBed

DomainBed is a suite to test domain generalization algorithms

doubledescent

dynamical_systems

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

generalization

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST

group_DRO

Distributionally robust neural networks for group shifts

HowToGraduateFromAUT

How to graduate from Computer Eng. and IT Department of Amirkabir University of Technology?

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

manim

Animation engine for explanatory math videos

MAT6115_Dynamical_Systems

Support material for MAT6115, Université de Montréal, Fall 2018

Megalodon

Various ML/DL Resources organised at a single place.

ncsn

Noise Conditional Score Networks

OptimizationVariance

This repository is the official implementation of "Optimization Variance: Delve into the Epoch-Wise Double Descent of DNNs"

overparam_spur_corr_forked

An Investigation of Why Overparameterization Exacerbates Spurious Correlations

Practical_RL

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

pytorch-gan-collections

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

pytorch-wgan

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

SubpopBench

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

syn-rep-learn

Learning from synthetic data - code and models

test_repo

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"