frosenwind Goto Github PK
Type: User
Type: User
Microsoft AI
AI education materials for Chinese students, teachers and IT professionals.
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
A curated list of awesome Deep Learning tutorials, projects and communities.
List of awesome resources for machine learning-based algorithmic trading
A curated list of awesome Machine Learning frameworks, libraries and software.
Empirical mode decomposition tutorial
解析东方财富网上的API,包装成python库
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
The 3rd edition of course.fast.ai
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
多账户-多策略期货交易程序(ctp开发经验分享)
《深度学习》因封面为一簇花丛又称“花书”,是由深度学习领域老、中、青三代结合而成的经典之作,被业界尊称为“AI圣经”。其中Yoshua Bengio为深度学习的三驾马车之一,Ian Goodfellow因发明了GAN而闻名,最后Aaron Courville为青年研究者。花书从应用数学基础开始,围绕着神经网络拓展开来,因此相较于《机器学习》全面介绍不同类型的算法,花书可以看作为神经网络章节的延伸,从深度前馈神经网络,到卷积神经网络,再到循环神经网络,以及辅助神经网络训练调参的正则化、优化方法、实践策略。记录了本人在学习过程中的核心知识点以及辅助理解的拓展知识点,希望能帮助大家打开深度学习新世界的大门。
Deep learning for forecasting company fundamental data
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
Algorithmic trading with deep learning experiments
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
Tool for building deep / recurrent neural network models for systematic fundamental investing.
爬取东方财富网上市公司的财务报表数据
东方财富网数据采集
A powerful, interactive charting and visualization library for browser
Generate Echarts options with Python.
Multi-Factor Stock Profit Prediction Using EMD-ALSTM
⛔️ DEPRECATED Empirical Mode Decomposition Package
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
A curated list of practical financial machine learning tools and applications.
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.