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

Using the cross-entropy method to solve Frozen Lake.

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.

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.

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

AIND Jupyter Notebook to predict student admissions using Keras Neural Networks

Machine Learning ideas explained including Entropy, XEntropy

A mini project on MNIST dataset using TensorFlow.

step by step tutorial for ANN

Exercise on captioning images in the Neural Networks for Computer Vision course. Using the Flickr8K dataset, and simple encoder-decoder architecture. Evaluation based on Cross-Entropy loss and 4-gram Bleu score.

Probability and Statistics for Machine Learning

Generic implementations of numerical optimization methods. As of now, only cross-entropy method is here.

Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Solving some gym env using policy based methods: hill climbing and Cross Entropy Method