Mohammad Pezeshki (mpezeshki)

mpezeshki

Geek Repo

Company:MILA at Universite de Montreal

Location:Montreal, Canada

Home Page:http://mohammadpz.github.io/

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Organizations
lisa-lab
mila-iqia

Mohammad Pezeshki's repositories

pytorch_forward_forward

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

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Gradient_Starvation

Gradient Starvation: A Learning Proclivity in Neural Networks

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Epoch_wise_Double_Descent

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

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A-_Guide_-to_Data_Sciecne_from_mathematics

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

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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DomainBed

DomainBed is a suite to test domain generalization algorithms

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foolbox

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

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generalization

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

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group_DRO

Distributionally robust neural networks for group shifts

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HowToGraduateFromAUT

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

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improved_wgan_training

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

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manim

Animation engine for explanatory math videos

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MAT6115_Dynamical_Systems

Support material for MAT6115, Université de Montréal, Fall 2018

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Megalodon

Various ML/DL Resources organised at a single place.

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ncsn

Noise Conditional Score Networks

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OptimizationVariance

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

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overparam_spur_corr_forked

An Investigation of Why Overparameterization Exacerbates Spurious Correlations

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Practical_RL

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

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pytorch-gan-collections

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

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pytorch-wgan

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

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SubpopBench

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

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syn-rep-learn

Learning from synthetic data - code and models

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wgan-gp

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

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