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3d-brain-segmentation

This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

4d-seismic-neural-inversion

Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion

adcme.jl

Automatic Differentiation Library for Computational and Mathematical Engineering

adversarial-autoencoder

An adversarial autoencoder implementation in pytorch

amf_es

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

autobel-v1.0

This is the repository for the Auto-BEL implementation in Python

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bayesian_neural_network_papers

Papers for Bayesian-NN

bcdu-net

BCDU-Net : Medical Image Segmentation

bedl

Bayesian Evidential Deep Learning with PAC Regularization

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

biconvlstm_violence_detection

This Pytorch repo uses BiConvLSTM in a Spatiotemporal Encoder to detect violence in Videos. Three benchmark datasets namely Hockey, Movies and Violent Flows were used in this work.

bidnn

Bidirectional (Symmetrical) Deep Neural Networks

caae-drdcn-inverse

Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems

cafe_portal

A framework for collaborative analysis of distributed environmental data (web user interface package)

cdc-gan-pytorch

cdcgan-face-completion-classification

Conditional Deep Convolutional Generative Adversarial Networks structure for completing incomplete face images and furthermore classifying.

cdcgan-keras

Conditional Deep Convolutional GAN

cnn-inversion

Deep autoregressive neural networks for high-dimensional inverse problems

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

co2-cycle-gan

co2-gan

coco

Numerical Black-Box Optimization Benchmarking Framework

codes-of-tead

This is the codes and examples described in "Mo, S., Lu, D., Shi, X., Zhang, G., Ye, M., Wu, J., & Wu, J. (2017). A Taylor expansion‐based adaptive design strategy for global surrogate modeling with applications in groundwater modeling. Water Resources Research, 53, 10,802–10,823. https://doi.org/10.1002/2017WR021622"

conv-encdec-pytorch

Convolutional Encoder Decoder network based on the SegNet architecture for unsupervised feature learning

convgru-convlstm-pytorch

Implementation of bi-directional Conv LSTM and Conv GRU in PyTorch.