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100 Days of ML Coding
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
廖雪峰教程实战
A simple Python 3 class for reading Azure Kinect DK MKV files, derived from vi/mkvparse
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,50余万字。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
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
:books: 技术面试需要掌握的基础知识整理
《统计学习方法》的代码实现
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.
Python best practices guidebook, written for humans.
项亮的《推荐系统实践》的代码实现
推荐系统实践(基于近邻和LFM的推荐系统)
RF-Net: A Unified Meta-Learning Framework for RF-enabledOne-Shot Human Activity Recognition
HKUST and SYSU
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
A list of all named GANs!
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.