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adversarial-validation

Creating a better validation set when test examples differ from training examples

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

autonormalize

python library for automated dataset normalization

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

caffe

Caffe: a fast open framework for deep learning.

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

cutools

Various tools to help writing and interacting with CUDA kernels.

dcgan_code

Deep Convolutional Generative Adversarial Networks

deepaudioclassification

Finding the genre of a song with Deep Learning

deepframeworks

Evaluation of Deep Learning Frameworks

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

dl4mt-tutorial

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dockerfiles

Compilation of Dockerfiles with automated builds enabled on the Docker Registry

edward

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

fasttext.py

A Python interface for Facebook fastText

fhir

The IBM FHIR Server and related projects

funda-scraper

Scraper of the Dutch real estate website www.funda.nl, implemented in Python with Scrapy

gmmn

Generative moment matching networks

grid

A Peer-to-Peer Network for Private, Secure, Multi-Owner Artificial Intelligence - Pre-Alpha

hashpay

A Demo Payment system using Hashgraph

helm-chart

Pangeo helm charts

heteroscedasticdropoutuncertainty

Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

iwae

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

jpeg2dct

jupyterlab

JupyterLab computational environment. This is a very early preview, and is not suitable for general usage yet.

kaapana

Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

ksonnet

A CLI-supported framework that streamlines writing and deployment of Kubernetes configurations to multiple clusters.