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apma2070

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

db-readings

Readings in Databases

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning-in-large-discrete-action-spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deeplearning4j

Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - From Skymind

deeplearningbook

MIT Deep Learning Book in PDF format

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepsolar

Nationwide houseshold-level solar panel identification with deep learning

device-controller

An example device controller for testing the DGI's plug and play device functionality.

dgp-irl

Deep Gaussian Process for Inverse Reinforcement Learning

distributed-ba3c

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

dsac

Distributional Soft Actor Critic

dsr_rl

reinforcement learning course at Data Science Retreat

dynonet

"dynoNet: a neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga

emt_benchmarks

Test cases for the simulation of electromagnetic transients

fortran-server

simple "hello world" tcp server in Fortran using POSIX APIs

fp7-ide4l-kthsmartslab-adn-rtmodel

Active Distribution Network Power System Model developed in the FP7 IDE4L Project by KTH SmarTS Lab

freedm

The distributed grid intelligence manages power transactions and attached physical devices.

frl

gcn

Implementation of Graph Convolutional Networks in TensorFlow

glmgen

Python scripting of GridLAB-D input files (.glm) derived from the Open Modeling Framework (OMF).

gnu-rl

A precocial reinforcement learning solution for HVAC control

graph_nets

Build Graph Nets in Tensorflow

gridcal

GridCal, a power systems solver written in Python with user interface and embedded python console

gridlab-d

Source Code for GridLAB-D

hadrec