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cnn_mnist

comd

This file is a final version of Composite Objective Mirror Descent method replicating Ketatos's paper

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

image-classification

Comprehensive image classification for training multilayer perceptron (MLP), LeNet, LeNet5, conv2, conv4, conv6, VGG11, VGG13, VGG16, VGG19 with batch normalization, ResNet18, ResNet34, ResNet50, MobilNetV2 on MNIST, CIFAR10, CIFAR100, and ImageNet1K.

l0.pytorch

an implementation of L0 regularization with PyTorch

linear_algebra

Introduction to linear algebra

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

lottery-ticket-hyopothesis

PyTorch implementation of The Lottery Tickets Hypothesis.

lottery-ticket-hypothesis

A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

lottery-ticket-hypothesis-in-pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

machine-learning-scripts

Collection of scripts and tools related to machine learning

maml_higher

mathelecs

matlab

mlp_mnist

omd-of-loss

omd-of-voltage

This folder contains OMD for voltage stability

pytracking

Visual tracking library based on PyTorch.

sdamadi.github.io

sparse_models

Sparse models that have been obtained from pruning processes and quantization

stomp

Sparse Solution of Underdetermined Linear Equations by Stagewise Orthogonal Matching Pursuit

supportresistance

A python script that estimates the support and resistance lines of a stock's prices or a period

today-i-learned

In this file I am going to write all useful codes that I have learned during my coding. Having them helps me to fresh my memory by looking at them quickly.