TreeerT
Follow
Lists (4)
Stars
Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
ROM for convective-dominated models with applications to space weather.
Truncated SVD by implicitly restarted Lanczos bidiagonalization for Python Numpy
PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
Public tutorials of using Flow Forecast for forecasting and classifying time series data
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
Temporal Fusion Transformers for Tensorflow 2.x
Boundary Equibilibrium Generative Adversarial Networks Implementation in Tensorflow
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
Physics-Informed Neural networks for Advanced modeling
Mathematical interdisciplinary toolbox for helping engineers, researchers and scientist
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Multi-fidelity reduced-order surrogate modeling
This repository contains implementations and illustrative code to accompany DeepMind publications
Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
tfts: Time Series Deep Learning Models in TensorFlow
A brief tutorial on the Wasserstein auto-encoder
A Collection of Variational Autoencoders (VAE) in PyTorch.
training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from d…
Disentanglement library for PyTorch
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)