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 ;)

Jupyter Interactive Notebook

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

IPython Parallel: Interactive Parallel Computing in Python

R kernel for Jupyter

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.

Data and code for COVID-19 NPI effectiveness estimation.

Contains methods to uniformly sample graphs with a given degree sequence.

C++ code for rapid implementation of the Structured Sum-of-Squared Decomposition algorithm