Pinned Repositories
-lu-.github.io
aaai_melding_code
Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
accurate-partial-svd
Accurate and fast partial SVD for low-rank learning
admm_release
Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''
AIPowerMeter
AlphaGo
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
AnomalyDetectionToolbox
A collection of algorithms for anomaly detection
argonne-national-laboratory.github.io
Organization page for Argonne github account
attention-learn-to-route
Attention based model for learning to solve different routing problems
opf
Machine Learning for Optimal Power Flow
hbyido's Repositories
hbyido/opf
Machine Learning for Optimal Power Flow
hbyido/-lu-.github.io
hbyido/aaai_melding_code
Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
hbyido/admm_release
Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''
hbyido/argonne-national-laboratory.github.io
Organization page for Argonne github account
hbyido/attention-learn-to-route
Attention based model for learning to solve different routing problems
hbyido/bayesgan
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
hbyido/blog.gitHub.io
hbyido/Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
hbyido/Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
hbyido/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
hbyido/DSP
An open-source parallel optimization solver for stochastic mixed-integer programming
hbyido/hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
hbyido/hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
hbyido/hbyido.github.io
hbyido/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
hbyido/lagrangian_nns
Lagrangian Neural Networks
hbyido/learned_gradient_tomography
Solving ill-posed inverse problems using iterative deep neural networks
hbyido/lu.github.io
hbyido/multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
hbyido/NPHard
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
hbyido/PSA.jl
Partial implementation of PyPSA in Julia with main focus on fast optimal power flow calculation
hbyido/PyPSA
PyPSA: Python for Power System Analysis
hbyido/Python-100-Days
Python - 100天从新手到大师
hbyido/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
hbyido/Safety-Helmet-Wearing-Dataset
Safety helmet wearing detect dataset, with pretrained model
hbyido/tangjianpku.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
hbyido/tensorflow
An Open Source Machine Learning Framework for Everyone
hbyido/turbulence-modeling-PIML
Data-driven Reynolds stress modeling with physics-informed machine learning
hbyido/UCAS-Course
**科学院大学研一课程教材课件共享项目University of Chinese Academy of Sciences postgraduate course textbook sharing project