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100-days-of-ml-code

100-Days-Of-ML-Code中文版

albumentations

fast image augmentation library and easy to use wrapper around other libraries

allensdk

code for reading and processing Allen Institute for Brain Science data

anogan

Tensorflow Implementation of AnoGAN (Anomaly GAN)

brainstat

A statistics and context decoding toolbox for neuroimaging.

breast-cancer-identification

Breast Cancer Identification Based on GLCM Texture Feature of Mammogram Image using Backpropagation Artificial Neural Network and K-Nearest Neighbor (KNN)

brisque

Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE)

chemception

CNN model based on Google Inception model to predict regression values of regression values of Tetrahymena pyriformis IGC50 from 2D images of molcules

cnn-for-regression

CNN for regression

combo

A Python Toolbox for Machine Learning Model Combination

cpbd

evaluate the sharpness of images，written in python

cpm

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

deeplearning_demo

深度学习入门的一些简单例子

diabetic-retinopathy-feature-extraction-using-fundus-images

Diabetic Retinopathy is a very common eye disease in people having diabetes. This disease can lead to blindness if not taken care of in early stages, This project is a part of the whole process of identifying Diabetic Retinopathy in its early stages. In this project, we'll extract basic features which can help us in identifying Diabetic Retinopathy in its early stages.

dicomsort

A project to provide custom sorting and renaming of dicom files

dl

eyeq

EyeQ : Dataset of Retinal Image Quality Assessment

featuresimage

An application to select the best image from a group of similar images comparing features like blurriness, contrast, pixels, brightness and so on

fixed-point-gan

Official implementation of Fixed-Point GAN - ICCV 2019

freesurfer-volume-reader

Python script & library to read hippocampal volumes computed by Freesurfer & ASHS

fundusiqa

IQA for Fundus images using handcrafted features

grad-cam

class/regression feature map

grad_cam-pytorch-resnet50

Class activate map

gsp-py

GSP (Generalized Sequence Pattern) algorithm in Python

ilearn

iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, Feature Normalization, Dimension Reduction and Model Construction for Classification, Best Model Selection, Ensemble Learning and Result Visualization for DNA, RNA and Protein Sequences.

image-quality-assessment-python

Python code to compute features of classic Image Quality Assessment models

image-similarity-deep-ranking

Using Deep Learning to learn fine-grained similarity between images and rank them.

image-similarity-using-deep-ranking

🖼️ PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)