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2020-cbms-doubleu-net

Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

ambiguous-medical-image-segmentation-using-diffusion-models

Accepted in CVPR 2023

attention-based-skin-cancer-classification

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

backgroundsubtraction

Background subtraction algorithm by Gaussian Mixture Model based on paper "Adaptive background mixture models for real-time tracking".

bam

Implementation of BAM: Bottleneck Attention Module with TensorFLow

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

bigdata-pyspark

Multi-Class Image Classification Using Pyspark

car-or-tree-with-spark-dl

Using Open Images 2019 data and categorizing a picture as a car or tree using Spark DL

cbam-keras

CBAM implementation on Keras

clear-diffusion-keras

Implementation of denoising diffusion models with schedules, improved sampling, and other extensions using Keras.

danet-keras

keras-Dual Attention Network for Scene Segmentation

data-augmentation-for-semantic-segmentation-dataset

A simple code to apply data augmentation to your semantic segmentation dataset and then use it train your model.

dataloader

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

ddanet

DDANet: Dual Decoder Attention Network for automatic Polyp Segmentation [International Conference on Pattern Recognition 2021]

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

deep-learning-pyspark

Deep Learning with Apache Spark and Deep Cognition

deepsat-aws-emr-pyspark

Using PySpark for Image Classification on Satellite Imagery of Agricultural Terrains

diff-unet

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)

diffir

This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023

diffusion

Denoising Diffusion Probabilistic Models

diffusion-based-segmentation

This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".

dilatedsegnet

DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation

ds200.m21-big-data

DS200.M21-Phân Tích Dữ Liệu Lớn

dtan

Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.