hbyido

dlwpt-code

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

Deep-Time-Series-Prediction

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

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.

tangjianpku.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

hbyido.github.io

lu.github.io

-lu-.github.io

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

argonne-national-laboratory.github.io

Organization page for Argonne github account

lagrangian_nns

Lagrangian Neural Networks

blog.gitHub.io

admm_release

Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''

Safety-Helmet-Wearing-Dataset

Safety helmet wearing detect dataset, with pretrained model

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

attention-learn-to-route

Attention based model for learning to solve different routing problems

multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

Python-100-Days

Python - 100天从新手到大师

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

aaai_melding_code

Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"

NPHard

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

DSP

An open-source parallel optimization solver for stochastic mixed-integer programming

tensorflow

An Open Source Machine Learning Framework for Everyone

turbulence-modeling-PIML

Data-driven Reynolds stress modeling with physics-informed machine learning

PyPSA

PyPSA: Python for Power System Analysis

opf

Machine Learning for Optimal Power Flow

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

PSA.jl

Partial implementation of PyPSA in Julia with main focus on fast optimal power flow calculation

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

learned_gradient_tomography

Solving ill-posed inverse problems using iterative deep neural networks

bayesgan

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