This repository contains my solutions and implementations for assignments assigned during the Machine Learning course.
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Updated
Mar 29, 2024 - Jupyter Notebook
This repository contains my solutions and implementations for assignments assigned during the Machine Learning course.
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
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
Using the cross-entropy method to solve Frozen Lake.
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 library for working with 1D piecewise linear probability density functions.
Machine Learning ideas explained including Entropy, XEntropy
A mini project on MNIST dataset using TensorFlow.
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
Simple neural network classifier on the MNIST digit set
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