mpezeshki Goto Github PK

librosa

Python library for audio and music analysis

lstm-attention

LSTM-Attention

lstm_benchmarks

Benchmarking different LSTM libraries

lstm_dropout

macosx-bashrc

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.

memnn

mila_git_tutorial

mkchiselproj

Simple script to create a chisel project

morphing_faces

Repository for the Morphing Faces demo

mpezeshki.github.io

ncsn

Noise Conditional Score Networks

neural-turing-machines

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

neuralnet

A neural network lib based on theano

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

ntm

An implementation of Neural Turing Machines

ofxtsne

t-SNE dimensionality reduction technique for openFrameworks

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

paper--deep-belief-networks-for-image-denoising--matlab-code

Deep Belief Network for Image Denoising Matlab code provided by Mohammad Pezeshki _ May 2013

passage

A little library for text analysis with RNNs.

practical_rl

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

project-template

pylearn2

A Machine Learning library based on Theano

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-gan-collections

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

pytorch-wgan

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

pytorch_forward_forward

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