Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

Practical course about Large Language Models.

Run your GitHub Actions locally 🚀

For SLAS 2024.

Loose collection of Jupyter notebooks, mostly for my blog

In which I put together my thoughts on the practice of data science.

Software Design by Example: a tool-based introduction with Python

Automated ⚙️ time series forecasting.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

SciPy library main repository

Companion webpage to the book "Mathematics For Machine Learning"

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.

A guide to learn bash

Lightning ⚡️ fast forecasting with statistical and econometric models.

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | Learn MLE & MLOps for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

It's all in the name

Lightweight, useful implementation of conformal prediction on real data. (a.k.a. conformal inference)

A playbook for systematically maximizing the performance of deep learning models.

Data, Benchmarks, and methods submitted to the M5 forecasting competition

A place to share quick how-to guides for STUMPY

A Library for Advanced Deep Time Series Models.

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