eremo2002

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

pytorch-template

PyTorch deep learning projects made easy.

centermask2

[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation

Save-Load-MaskRCNN-model

This is an attempt at solving the issue with saving and loading MaskRCNN model.

Mask_RCNN

Mask R-CNN modified to run on TensorFlow 2

koila

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

mrcnn_serving_ready

🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI

pytorch-mask-rcnn

Yolact_minimal

Minimal PyTorch implementation of YOLACT.

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

PyTorch-Deformable-Convolution-v2

Don't feel pain to use Deformable Convolution

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Deform2Self

Deform2Self

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

CycleGAN-PyTorch

A very simple implementation of cyclegan, which is based on pytorch.

PPN2V

Code Implementation for the publication "Fully Unsupervised Probabilistic Noise2Void"

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

Noise2Void

yolov3-pytorch

A Simple PyTorch Implementation of YOLOv3

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

DBSN

Unpaired Learning of Deep Image Denoising

deep-learning-from-scratch-3

『밑바닥부터 시작하는 딥러닝 ❸』(한빛미디어, 2020)

CNN-Numpy

Inplement an CNN frame with Numpy, easy to learn, hard to use hhhh

DarkNet

darknet53,tf2

deep-learning-from-scratch

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

CoSeg_CSA_MLMI

The support material for the MLMI paper submission

CNNumpy

A Numpy implementation of a Convolutional Neural Network: slow & fast (im2col/col2im).

QSMnet

Source code for deep neural network trained quantitative susceptibility mapping (QSMnet and QSMnet+)

BCDU-Net

BCDU-Net : Medical Image Segmentation

Vision_Transformer_Keras

Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)