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A reference solution for using model-based reinforcement learning to train energy utilization-minimizing HVAC control agents. Developed by TELUS with support from Vector Institute.

Examples of RL for the energy arbitrage use case.

A precocial reinforcement learning solution for HVAC control

Principles of Modeling for Cyber Physical Systems

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

Swift library for Data Visualization 📊

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

Assignments for CS294-112.

An up-to-date version of GPML library.

Official repository of the AWS EC2 FPGA Hardware and Software Development Kit

This repository is the implementation of the paper "Beating Atari with Natural Language Guided Reinforcement Learning"

Implementation of CRF. Batch training

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

Public facing deeplift repo

Dilated CNNs for NER in TensorFlow

Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.

Reference Implementation for WSDM 2018 Paper

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

Python implementation of Reinforcement Learning: An Introduction

Recursive Neural Networks implemented with Tensorflow

Adversarial Training for Neural Relation Extraction