Causal Learning: A new ML framework utilizing cooperative networks

Text Analysis with Python

This repo contains lecture notes and other course materials for "Programming for Data Science"

ES 335 Machine Learning Course at IIT Gandhinagar

Symbolic sequence learning package

Neuro-symbolic interpretation learning (mostly just language-learning, for now)

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Probabilistic ML course 2023

A Python package to simulate and measure chaotic dynamical systems.

Non-Intrusive Load Monitoring Toolkit (nilmtk)

MATH 4388/5388 Machine Learning Methods at University of Colorado Denver

Implementation of popular ML algorithms from scratch

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2022-23-autumn offering

A machine learning based fantasy hockey draft helper.

This repository includes a simple implementation of Echo State Networks (ESNs)

This repo will contain all the codes and materials used in my computer science youtube channel https://www.youtube.com/channel/UC7J8myLv3tPabjeocxKQQKw

Repository for paper "Hands-on reservoir computing" (NCE, 2022)

Code / solutions for Mathematics for Machine Learning (MML Book)

Companion code for tutorials on the AssemblyAI YouTube channel

Companion webpage to the book "Mathematics For Machine Learning"

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

JupyterNotebooksforDASTATS

Plain python implementations of basic machine learning algorithms

The Book of Statistical Proofs

Research code for ML with distribution shift