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dicompyler

Extensible radiation therapy research platform and viewer for DICOM and DICOM RT

digits

Deep Learning GPU Training System

distributetensorflowexample

distribute tensorflow example

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

documentfeatureselection

A set of metrics for feature selection from text data

dogs-vs-cats-redux

Dogs vs. Cats Redux on floydhub

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

em-dd

Implementation of the EMDD Multiple-Instance Learning-Algorithm in Python

ensemble-objdet

A basic ensemble method for object detection. Given bounding boxes from multiple object detectors, output a single cohesive set of bounding boxes.

explanatorygraph

Interpreting CNN Knowledge via an Explanatory Graph

fae

FeAture Explorer

fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

feature-selection

Feature selection implementation task for FBK

fswebcam

A neat and simple webcam app

fully-convolutional-neural-network-fcn-for-semantic-segmentation-tensorflow-implementation

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

git-from-the-bottom-up

An introduction to the architecture and design of the Git content manager

gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

heatmap

Python module to create heatmaps

ilastik-feature-selection

Select filter features with mutual-information-based methods

image-analogies

Generate image analogies using neural matching and blending.

image-restoration-deep-learning

Restoring images of damaged paintings using in-painting. Damaged paintings have discolored patches where the paint has faded or fallen off. This project uses image in-painting to fill and restore these lost regions. The models include context-encoders, GANS, conditional GANS and pixel diffusion.

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

imagehash

A Python Perceptual Image Hashing Module

imageprocessing

Image processing using tensorflow

imimic-rcvs

This repository contains the code for implementing Bidirectional Relevance scores for Digital Histopathology, which was used for the results in the iMIMIC workshop paper: Regression Concept Vectors for Bidirectional Explanations in Histopathology

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

interpretable-ml-book

Book about interpretable machine learning

interpretablecnn