Pinned Repositories
awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Co-learning_with_STruGMA
decision-rules-network
This repository contains the source code of the paper "Learning Accurate and Interpretable Decision Rule Sets from Neural Networks".
Diffusion-GAN
Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
ESA
Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)
new-pac
科学上网/自由上网/翻墙/软件/方法，免费shadowsocks/ss/ssr/v2ray/goflyway账号，vps一键搭建脚本/教程
PINNs_transient_stability_analysis
PSSE-Python-Code
Python code written to simplify the procedure of performing dynamic simulations of HVDC contingencies. Used for specialization project and hopefully also master thesis
softs
互联网上仅存的稀缺资源，不收取任何费用，仅用于个人研究和使用，发扬互联网分享精神，专注收藏与分享。
Spatial-temporal-Adaptive-Transient-Stability-Assessment-for-Power-System-under-Missing-Data
Codes for our paper "Spatial-temporal Adaptive Transient Stability Assessment for Power System under Missing Data"
TanBendong's Repositories
TanBendong/PINNs_transient_stability_analysis
TanBendong/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
TanBendong/Co-learning_with_STruGMA
TanBendong/decision-rules-network
This repository contains the source code of the paper "Learning Accurate and Interpretable Decision Rule Sets from Neural Networks".
TanBendong/Diffusion-GAN
Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
TanBendong/ESA
Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)
TanBendong/Publications
TanBendong/PyPSCAD
TanBendong/ACD-EDMD
TanBendong/CalibrateEmulateSample.jl
Stochastic Optimization, Learning, Uncertainty and Sampling
TanBendong/convst
Implementation of the Convolutional Shapelet Transform algorithm along with interpretability tools. Documentation is WIP on read the docs.
TanBendong/Deep-aPCE
TanBendong/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
TanBendong/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
TanBendong/DIG
A library for graph deep learning research
TanBendong/EnsembleKalmanProcesses.jl
Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
TanBendong/gatsbi
GATSBI: Generative Adversarial Training for Simulation-Based Inference
TanBendong/GDKL
Code that accompanies the paper Guided Deep Kernel Learning
TanBendong/MSML21_BayesianNODE
TanBendong/neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
TanBendong/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
TanBendong/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
TanBendong/remix
Rule Extraction Methods for Interactive eXplainability
TanBendong/snvi_repo
Reproduce results from the SVNI paper, Glöckler et al. 2022, ICLR
TanBendong/TBendong.github.io
Academic personal websites
TanBendong/TotalLeastSquares.jl
Solve many kinds of least-squares and matrix-recovery problems
TanBendong/TyXe
TanBendong/uncertainty-GNN
Uncertainty Aware Semi-Supervised Learning on Graph Data
TanBendong/VItamin
Hyper-fast gravitational wave posterior parameter estimation using variational inference. Code used for "Bayesian parameter estimation" paper. Note: This is being repackaged and moving to another repository soon (hagabbar/vitamin_b).
TanBendong/youmi-zym.github.io
Youmin Zhang's Research Website