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

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Public facing notes page

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

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

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…

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

A crash course in six episodes for software developers who want to become machine learning practitioners.

Inference Code for Polygon-RNN++ (CVPR 2018)

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow