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mile_code

mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

neuralsolvers

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.

neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

opencv_arrange

openselfsup

Self-Supervised Learning Toolbox and Benchmark

pinn-pytorch

Deep learning library for solving differential equations on top of PyTorch.

pinns

PyTorch Implementation of Physics-informed Neural Networks

planetoid

Semi-supervised learning with graph embeddings

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn

Graph Convolutional Networks in PyTorch

pytorch-course

JULYEDU PyTorch Course

pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

representation_learning_on_graphs_with_jumping_knowledge_networks

Representation Learning on Graphs with Jumping Knowledge Networks

sdc-il

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

stegastamp

Invisible Hyperlinks in Physical Photographs

the-gan-zoo

A list of all named GANs!

topology-optimization-of-structure-via-simp-method

　　This project contains topology optimization of structure with SIMP and multiscale opitimization of both structure and materials with AH ,the programming language is Python and the FEA solver is ANSYS MAPDL.

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"