apcc-geoslegend,Seongkyu Lee,github

-dl_paperreadingmeeting

Deep Learning Paper Reading Meeting-Archive

2nd-project-unsupervised-deep-learning-with-self-organizing-maps

Self Organizing Maps, Naive Bayes, SVM, K-Nearest Neighbors

3d-guidedgradcam-for-medical-imaging

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

3dunetcnn

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

acnet

adamp

Slowing Down the Weight Norm Increase in Momentum-based Optimizers

adanorm

advancepytorchgeometrictutorials

here you can find the material used for our Tutorials

afno-transformer

Adaptive FNO transformer - official Pytorch implementation

ai-news

Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)

ai4water

framework for developing machine (and deep) learning models for structured data

ai_handson

akka-dynamic-batch-serving

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

alphafold

Open source code for AlphaFold.

anatomynet-for-anatomical-segmentation

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

anpr-with-yolov4

A.I. parking barrier gate using YOLOv4 and DynamiKontrol module.

articles

Papers I read

attention-augmented-conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

attention-based-bilstm-relation-extraction

Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.