RahulSundar

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Diffusion-Models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

OpenSTL

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

ContextVAE

[ICRA 2024]Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction

PDE-VAE-pytorch

PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

LLM_Mini_Series_Part_II

This is a demo repository for parallel multi-index question answering using streamlit and llama index

CVAE

Tensorflow Code for Conditional Variational AutoEncoder

pinn4hcf

Physics-informed neural networks for highly compressible flows 🧠🌊

MPGAN

The message passing GAN https://arxiv.org/abs/2106.11535 and generative adversarial particle transformer https://arxiv.org/abs/2211.10295 architectures for generating particle clouds

multimodal-dynamics

Code for AAAI 2021 paper "Learning Intuitive Physics with Multimodal Generative Models"

vae_mhd_solver

Variational Autoencoder (VAE)-like neural network to solve ideal MHD equilibrium in a tokamak

PI-VAE

implementation of physics-informed variational auto-encoder

From-Physics-To-GANs

Code for the blog post

Beta-VAE

Tensorflow implementation of Beta-Variational-AutoEncoder for CelebA dataset

jcs_paper_pinn

PINN paper that will be submitted to Journal of Computational Science

PELS-VAE

Physics-Enhanced Latent Space Variational Autoencoder

FluidGAN-TensorFlow

A TensorFlow framework for multi-physics phenomena (stationary, time-dependent) prediction using FluidGAN

ae_thesis

deep-physics

Intuitive Physics of Dynamic Environments using DNNs, GANs, and RNNs

BITSPilani

Natural-climate-reconstruction-with-VAE

Final project for the course Laboratory of Computational Physics mod. B, master degree in Physics of Data

PB-GAN

Physics-based regularization using generative adversarial networks

Variational_Auto_Encoder

Physics-Aware-GAN

Super resolution GAN for Physics smoke simulation data

VariationalAutoEncoders

PIFFGANs

Physics-informed Fourier feature GANs

vae-generator-for-particle-physics

A synthetic data generator for particle physics using variational autoencoders

Physics-Informed-Recurrent-GAN-for-Flow-field-Reconstruction

Physics-constrained-GANs

Draft

gan-pi

Generative Adversarial Networks - Physics Informed