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Starred repositories
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
The fastai book, published as Jupyter Notebooks
Instruct-tune LLaMA on consumer hardware
A collection of various deep learning architectures, models, and tips
llama3 implementation one matrix multiplication at a time
Foundational Models for State-of-the-Art Speech and Text Translation
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Code Repository for Machine Learning with PyTorch and Scikit-Learn
IPython Parallel: Interactive Parallel Computing in Python
PySpark-Tutorial provides basic algorithms using PySpark
Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models
This repository consists for gpu bootcamp material for HPC and AI
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
Machine Learning Q and AI book
Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
Source material for Python Like You Mean it
Guide for writing shell scripts in Julia
This repository accompanies the book "Getting Started with Natural Language Processing"
🔊 Ultrasound imaging with RTL-SDR
a library of easily downloadable datasets with animal vocalizations (audio)
Computational Neuroscience Crash Course (University of Bordeaux, 2020)
Artificial Intelligence By Example Second Edition, published by Packt
Use animation to explain machine learning
HipHopathy, An introductory Data Science Unit Using Rap Lyrics. The goal of this unit is to connect cultural relevance to computing by introducing elementary techniques of natural language processi…
Learn Generative AI with PyTorch (Manning Publications, 2024)
Repository for the CRC Press book Machine Learning, Animated
Computer Science, Data Science and ML Fundamentals