pipette

Electricity-load-disaggregation

Smart meter load disaggregation with Hidden Markov Models

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

DS_random_func

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

fastai

The fastai deep learning library, plus lessons and and tutorials

keras-wtte-rnn

Demo Weibull Time-to-event Recurrent Neural Network in Keras

LittleInferenceBook

A book for the coursera statistical inference class

MachineLearningCourse

mojo

The Mojo Programming Language

python_koans

Python Koans - Learn Python through TDD

scikit-learn

scikit-learn: machine learning in Python

wtte-rnn-examples

Examples of implementations of WTTE-RNN