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Geometry-Aware Fourier Neural Operator (Geo-FNO)
Learning in infinite dimension with neural operators.
Must-read Papers on Physics-Informed Neural Networks.
ICON for in-context operator learning
Direct Simulation Monte Carlo of the Rayleigh problem
using nn.Transformer() module to accomplish a machine learning demo.
PyTorch denoising diffusion demo
Experimental discontinuous Galerkin / Fourier spectral solver for viscous, incompressible Navier-Stokes equation in two dimensions
An implementation of Transformer in Pytorch using nn.Transformer layer applied to chatbot.
Pytorch Generative ChatBot (Dialog System) based on RNN, Transformer, Bert and GPT2
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
This repo is to compare Transformer and LSTM on time series forecasting
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
Learning Stochastic Dynamics with Statistics-Informed Neural Network
Code for Deep Variational Implicit Processes (DVIP - ICLR 2023)
Converts your ESP32 into a captive portal
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Simulation of an Ideal Gas to Verify Maxwell-Boltzmann distribution
CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20 well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTor…
Reproduce "Solving high-dimensional partial differential equations using deep learning" by pytorch
Solving high-dimensional Partial Differential Equations with Deep Learning
The classic inverted pendulum simulated in Gazebo.
