Pinned Repositories
Associative_LSTM
LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)
CTC-Connectionist-Temporal-Classification
Theano implementation of CTC.
Epoch_wise_Double_Descent
Official implementation of "Multi-scale Feature Learning Dynamics: Insights for Double Descent".
Gradient_Starvation
Gradient Starvation: A Learning Proclivity in Neural Networks
LSTM-Attention
LSTM-Attention
LSTM_Dropout
pytorch_forward_forward
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
Recurrent-Neural-Networks
Recurrent Neural Network for modeling sequential data implemented using Python and Theano.
RNN_Experiments
General experiments on Vanilla RNN and LSTM in Theano.
Theano_Tile_Coding
A tile coder in theano for Reinforcement Learning tasks
mpezeshki's Repositories
mpezeshki/pytorch_forward_forward
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
mpezeshki/Gradient_Starvation
Gradient Starvation: A Learning Proclivity in Neural Networks
mpezeshki/Epoch_wise_Double_Descent
Official implementation of "Multi-scale Feature Learning Dynamics: Insights for Double Descent".
mpezeshki/mpezeshki.github.io
mpezeshki/A-_Guide_-to_Data_Sciecne_from_mathematics
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
mpezeshki/DD
mpezeshki/Deep-Double-Descent
mpezeshki/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
mpezeshki/directional-fibers
mpezeshki/DomainBed
DomainBed is a suite to test domain generalization algorithms
mpezeshki/doubledescent
mpezeshki/dynamical_systems
mpezeshki/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
mpezeshki/generalization
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST
mpezeshki/group_DRO
Distributionally robust neural networks for group shifts
mpezeshki/HowToGraduateFromAUT
How to graduate from Computer Eng. and IT Department of Amirkabir University of Technology?
mpezeshki/improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
mpezeshki/manim
Animation engine for explanatory math videos
mpezeshki/MAT6115_Dynamical_Systems
Support material for MAT6115, Université de Montréal, Fall 2018
mpezeshki/Megalodon
Various ML/DL Resources organised at a single place.
mpezeshki/ncsn
Noise Conditional Score Networks
mpezeshki/OptimizationVariance
This repository is the official implementation of "Optimization Variance: Delve into the Epoch-Wise Double Descent of DNNs"
mpezeshki/overparam_spur_corr_forked
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
mpezeshki/Practical_RL
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
mpezeshki/pytorch-gan-collections
PyTorch implementation of DCGAN, WGAN-GP and SNGAN.
mpezeshki/pytorch-wgan
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
mpezeshki/SubpopBench
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
mpezeshki/syn-rep-learn
Learning from synthetic data - code and models
mpezeshki/test_repo
mpezeshki/wgan-gp
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"