williamashbee Goto Github PK

2dbrainslicegenerator

3d-synth-data

3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

abcd

adv_algorithms_project

advancedml-gsu

AdvancedMachineLearning course taught by Dr. pavel skums at gsu

advancednetworkinggroupproject

advancenetworkingassignments

assignments for advanced networking class

classification

Catalyst.Classification

computervision

confident_classifier

Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018

corticalmeshgen

dataminingassignments

datasciencehomeworks

deep-learning

Study and implementation about deep learning models, architectures, applications and frameworks

deepslice

DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks

face-detection

face-detection project

gan

Catalyst.GAN

gan_toyproblem

problem for research

ilp_3d_graph

minigan-catalyst

a minimal gan using catalyst framework--extended for research

nilearn-sandbox

partialconv

A New Padding Scheme: Partial Convolution based Padding

partialconv-gsu

research sandbox (original project was created https://github.com/NVIDIA/partialconv)

pytorch-inpainting-with-partial-conv

Research Fork of Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

segmentation

Catalyst.Segmentation

splineexample

test

test2