Yize Chen (chennnnnyize-zz)

chennnnnyize-zz

Geek Repo

Location:Berkeley, CA

Home Page:yizechen.com

Twitter:@yize_chen_UW

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Yize Chen's repositories

Renewables_Scenario_Gen_GAN

The implementation of scenario generation for renewables production process

Optimal-Control-via-Neural-Networks

Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach

Load-Forecasting-During-COVID-19

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

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load_forecasts_attack

Code repo for E-Energy 2019 paper

WindChaser-1

DIRECT Project

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PowerAdversary

The code repo for vulnerabilities of Machine Learning in Power Systems

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BayesianRenewablesGAN

Research code for Bayesian Renewables Scenario Generation via Deep Generative Networks

ioc_lqr

inverse optimal control

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carbon_aware_ev_charging

Minimizing Carbon Emission during EV Charging

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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.

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Boeing-Code

Some Boeing codes

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e2e-model-learning

Task-based end-to-end model learning

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Ecology-Discovery-via-Symbolic-Regression

Code repo for Revealing Complex Ecological Dynamics via Symbolic Regression

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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.

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graph-adversarial-learning-literature

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

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iht

Iterative Hard Thresolding

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maml

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

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meta-blocks

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

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progressive-learning

progressive learning

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really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

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resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

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