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a-picture-is-worth-a-1000-words

I am trying to describe complex matters in simple doodles!

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

data

Data and code behind the articles and graphics at FiveThirtyEight

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

handson-ml

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

hiv_social_media

langchain

⚡ Building applications with LLMs through composability ⚡

lightning

Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.

lightning-tutorials

Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.

machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

neetcode

Leetcode solutions from Neetcode

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

numpy-ml

Machine learning, in numpy

pyscript

pysradb

Package for fetching metadata and downloading data from SRA/ENA/GEO

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

pytorccch_examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

quickumls

System for Medical Concept Extraction and Linking

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks