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Awesome GAN for Medical Imaging
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
List of Data Science Cheatsheets to rule the world
Entropy rate superpixel segmentation source code
A toolkit for developing and comparing reinforcement learning algorithms.
Source code of the paper "Spectral and spatial classification of hyperspectral image based on random multi-graphs"
Hyperspectral image classification with varies image processing and machine learning methods.
Hyperspectral image classification
Hyperspectral-Classification Pytorch
This repo contains an illustration of the use of kernel support vector machine for hyperspectral image classifiication as well as a comparison with least sqaure methods.
This is my Graduate Project on hyperspectral image classification.
the code of ''Hyperspectral Image Classification via Fusing Correlation Coefficient and Joint Sparse Representation''
Hyperspectral image Target Detection based on Sparse Representation
Resources for "Introduction to Deep Learning" course.
Deep Learning for humans
Anomaly detection implemented in Keras
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
This is my assignment on Andrew Ng's course “neural networks and deep learning”
All Algorithms implemented in Python
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch Tutorial for Deep Learning Researchers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.