haohaohaozhang's Stars
tovacinni/neural-fluid-fields
A small library for doing fluid simulation with neural networks.
mengcz13/KDD2021_CNFGNN
Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
tum-pbs/pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
thunil/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
PiotrDabkowski/torchpwl
Piecewise Linear Functions (PWL) implementation in PyTorch
jonbarron/robust_loss_pytorch
A pytorch port of google-research/google-research/robust_loss/
jwwthu/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
kwai/DouZero
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
wwxFromTju/awesome-reinforcement-learning-zh
中文整理的强化学习资料（Reinforcement Learning）
wangshub/RL-Stock
📈 如何用深度强化学习自动炒股
zhoubolei/introRL
Intro to Reinforcement Learning (强化学习纲要）
guokan987/HGCN
The code of AAAI2021 paper of HGCN for Traffic Forecasting
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
datamllab/rlcard
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
USC-Melady/ICLR2020-PADGN
Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum?id=r1gelyrtwH).
abedidev/FedSL
Implementation of FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks
SharifAbuadbba/split-learning-1D
Data61' CSIRO Distributed System Security Group. We have developed this algorithm to explore the question - Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? The work has been accepted in asiaccs 2020
grasses/Vertical-Federated-Learning
Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"
bt-s/Split-Learning-and-Federated-Learning
Investigating Split Learning and Federate Learning
aidecentralized/awesome-split-learning
A curated repository for various papers in the domain of split learning.
amirstar/Deep-Forecast
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
YatSenOS/YatSenOS-Tutorial-Volume-1
A Simple 32-bit OS lab tutorial.
MengzhangLI/STFGNN
Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)
FedML-AI/FedGraphNN
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
datawhalechina/pumpkin-book
《机器学习》（西瓜书）公式详解
vonzhou/CSAPP
CSAPP,《深入理解计算机系统结构》2nd ，阅读与实践！
lululxvi/deeponet
Learning nonlinear operators via DeepONet