chennnnnyize-zz Goto Github PK

badgr

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bayesianrenewablesgan

Research code for Bayesian Renewables Scenario Generation via Deep Generative Networks

boeing-code

Some Boeing codes

carbon_aware_ev_charging

Minimizing Carbon Emission during EV Charging

cleverhans

A library for benchmarking vulnerability to adversarial examples

convergent_learning

Code for paper "Convergent Learning: Do different neural networks learn the same representations?"

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

cyclegan-tensorflow-1

A Tensorflow implementation of Cycle-Consistent Adversarial Networks.

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

deepmachinelearning

e2e-model-learning

Task-based end-to-end model learning

ecology-discovery-via-symbolic-regression

Code repo for Revealing Complex Ecological Dynamics via Symbolic Regression

energyplus

EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption and water use in buildings.

generative-molecules

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

iht

Iterative Hard Thresolding

inertialnav

Inertial Navigation Filter

ioc_lqr

inverse optimal control

iotgo

Open source IoT cloud service

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

krackattacks-scripts

load-forecasting-during-covid-19

The code repo for building reliable load forecasting model during the COVID-19 pandemic

load_forecasts_attack

Code repo for E-Energy 2019 paper

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

meta-blocks

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

molecule_generator

Code for "Multi-Objective De Novo Drug Design with Conditional Graph Generative Model" (https://arxiv.org/abs/1801.07299)

multi_agent-reinforcement-learning-for-crowdsensing

neural-decoding-for-opf