Here is the content of ML committe in season 2025

Implementing Machine Learning Techniques just using Python.

C++ version of Andrej Karpathy's micrograd with Keras-like Sequential API and auto differentiation engine, facilitating Tensor arithmetic using chain-rule & topological sort, mini-batch Gradient Descent, and learning rate scheduling

This repository contains my notes of Calculus and Statistics that I taught in the Department of Mathematics at The University of Texas at Tyler.

Demonstrate how to derive and implement the backward computing of matrix multiplication.

This web-based tool allows users to input and process formal grammars, specifically focusing on removing chain rules

This repository is related to all about Multivariate Calculus for Machine Learning - an A-Z guide to the world of Multivariate Calculus for Machine Learning. This supplement contains the implementation of Multivariate Calculus for Machine Learning (in Python)

Explore the Math behind it by designing a neural network, derive the parameter gradients with respect to loss function and update the parameter weights and update the weight parameters using the gradients without the help of in-built libraries.