TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Python programs, usually short, of considerable difficulty, to perfect particular skills.

FinRL®: Financial Reinforcement Learning. 🔥

Public facing notes page

Automatic extraction of relevant features from time series:

Code samples used on cloud.google.com

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Recipes for using Python's pandas library

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Software defined VHS decoder - Fork (maybe temporary) of the ld-decode Laserdisc rf decoder

PyCon 2015 Pandas tutorial materials

Google Cloud Datalab samples and documentation

Tutorial and Examples Jupyter Notebooks for Altair

Tutorial on Tempo, Beat and Downbeat estimation