boaz-yin Goto Github PK

accuracy-evaluation-matlab

A MATLAB implementation for calculating the accuracy metrics (Accuracy, Error Rate, Precision(micro/macro), Recall(micro/macro), Fscore(micro/macro)) for classification tasks based on the paper http://www.sciencedirect.com/science/article/pii/S0306457309000259.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bmvc21--corrosion-image-data-set-for-automating-scientific-assessment-of-materialscorrosion-image

corrosion_arl

corrosion_f19

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

d3-tips-and-tricks

Static site for storing D3 Tips and Tricks document

dcafuse

Feature fusion using Discriminant Correlation Analysis (DCA)

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

deepsccan

Deep & Sparse CCA for Neuroimaging in Tensorflow

deprecated-lesson-template

DEPRECATED: THIS REPOSITORY IS NO LONGER IN USE: PLEASE SEE swcarpentry/styles INSTEAD.

et-net

A PyTorch implementation of ET-Net (aka ETNet)

gpt4free

decentralising the Ai Industry, just some language model api's...

granta-wrapper-demo

group-sparse-canonical-correlation-analysis

Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two different types of data (i.e. SNP and gene expression). More information about method and algorithm can be seen from: Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Hong-Wen Deng, Yu-Ping Wang: Group sparse canonical correlation analysis for genomic data integration. BMC Bioinformatics 14: 245 (2013)

guided_diffusion_aluminum-1

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

intro-to-deep-learning-with-pytorch-udacity-solutions

This repository contains my solutions and stand-alone Colab-friendly notebooks for the Intro to Deep Learning with PyTorch Course on Udacity

keras-gan

Keras implementations of Generative Adversarial Networks.

lire

Open source library for content based image retrieval / visual information retrieval.

lol

package for dimensionality reduction under supervised data scenarios

material-dashboard

Material Dashboard - Open Source Bootstrap 4 Material Design Admin

matrix-factorization-in-python

metal-defect-detection

Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning

mev-mqp

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

mobilevit

Unofficial PyTorch implementation of MobileViT based on paper "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

mobilevit-pytorch

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"