Python Data Science Handbook: full text in Jupyter Notebooks

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 ;)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A collection of various deep learning architectures, models, and tips

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

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Python library for interactive topic model visualization. Port of the R LDAvis package.

Materials for my Pycon 2015 scikit-learn tutorial.

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

Sample iPython notebook with soccer predictions

A collection of tutorials on neural networks, using Theano

Exposure Matrix Factorization: modeling user exposure in recommendation

Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems

Active learning for Big Data

Official repository of "CoPL: Collaborative Preference Learning for Personalizing LLMs"

Pytorch benchmarking source code for decimation model

Code and data for "MIRROR: Multimodal Cognitive Reframing Therapy for Rolling with Resistance"