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 ;)

A collection of pre-trained, state-of-the-art models in the ONNX format

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Probabilistic reasoning and statistical analysis in TensorFlow

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Beaker Extensions for Jupyter Notebook

IPython Parallel: Interactive Parallel Computing in Python

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

Code, Notebooks and Examples from Practical Business Python

Tutorials and implementations for "Self-normalizing networks"

A few exercises for use at events.

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning t…

(Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

Light-weight Single Person Pose Estimator

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

optimization routines for hyperparameter tuning

DiscoDiffusion Warp

General Assembly's Data Science course in Washington, DC

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

Python library to access Gene Expression Omnibus Database (GEO)

Machine Learning analyses of the MNIST database of handwritten digits