This repository contains my solutions and implementations for assignments assigned during the Machine Learning course.

Notes on implementation part of Cross Entropy Loss

Emotion detection from small images using CNN

Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations

In this repo I explore the Hill Climbing improvements like adaptative nopise scaling and cross-entropy to use them to solve the enviroment CartPole-v0 from OpenAI-GYM.

A simple implementation of a transformer based language model using Pytorch-Lightning

A Neural Network implementation from scratch built in Rust, designed to work with the MNIST dataset of handwritten digits.

Using the cross-entropy method to solve Frozen Lake.

A library for working with 1D piecewise linear probability density functions.

Applying a Cross Entropy technique to the Travling Salesman Problem.

A Repository for handling different complex machine learning algorithms like boosting etc. This repository contains/will contain all the important algorithms implemented on real data. The helper functions defined will prevent from writing complex codes and will help us realize our goal faster.

Simple neural network classifier on the MNIST digit set

A pytorch implementation of Densenet for FashionMNIST dataset

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

A simple python script to demonstrate how back propagation works in python, with Adam, Gradient descent and Cross entropy

A data classification using MLP

Neural-Net-Numpy(NNN) is a simple python package for training neural networks using only numpy components

AIND Jupyter Notebook to predict student admissions using Keras Neural Networks