Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

This is a repo with links to everything you'd ever want to learn about data engineering

Gurobi modeling examples

https://harvard-iacs.github.io/2019-CS109A/

this repository accompanies my forthcoming book "Grokking Deep Learning"

An open-source NLP research library, built on PyTorch.

NLP made easy

Course material for STAT 479: Deep Learning (SS 2019) course at University Wisconsin-Madison

Deep Learning Specialization by Andrew Ng on Coursera.

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

Machine learning cheatsheet

Udacity Deep Learning MOOC assignments

100 Days of ML Coding

VIP cheatsheets for Stanford's CS 229 Machine Learning

Exercises for "HTTP & Web Servers"

Repository for the IWCS 2017 paper "Representation Learning for Answer Selection with LSTM-Based Importance Weighting"

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

Collection of iPython notebooks for UB CSE Machine Learning course (CSE 474/574)

The beauty of information retrieval.

📚 List of awesome university courses for learning Computer Science!

Source Code for the book Building Machine Learning Systems with Python

Topic Modelling for Humans

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

Sentiment Analysis Challenge

Implementation of various topic models