Popular GitHub Repositories for Residual Jacobian Pinns

? Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

MuZero

3D U-Net model for volumetric semantic segmentation written in pytorch

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Play deep learning with CIFAR datasets

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

Code accompanying my blog post: So, what is a physics-informed neural network?

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Pytorch implementation of ResUnet and ResUnet ++

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"