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autogbt

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

autokeras

accessible AutoML for deep learning.

aws-serverless-workshops

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

darts

Differentiable architecture search for convolutional and recurrent networks

enas_pytorch

ENAS Port from tensorflow to pytorch

hello

models

Models and examples built with TensorFlow

nab

The Numenta Anomaly Benchmark

novartis-data-challenge

A temporary store for code , data and visuals

pyodds

An End-to-end Outlier Detection System

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

xnor-net-pytorch

PyTorch Implementation of XNOR-Net