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

Contains all of the queries used within the Complete Guide to Elasticsearch course.

Fixes and tweaks for the "UHD" port of Resident Evil 4

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

A collection of algorithms and data structures

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Collection of bioinformatics training materials

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

Example application code for the python architecture book

Apache Spark - A unified analytics engine for large-scale data processing

Code and attachments for our clean code course (https://acad.link/clean-code)

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.