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ai

Microsoft AI

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

apachecn-quant-zh

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

binder_emd

Empirical mode decomposition tutorial

capitalfarmer

解析东方财富网上的API，包装成python库

cheatsheets-ai

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

course-v3

The 3rd edition of course.fast.ai

crosssection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

ctp-tradeserver

多账户-多策略期货交易程序（ctp开发经验分享）

deep-learning-learning-notes

《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-quant

Deep learning for forecasting company fundamental data

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

deep-trading

Algorithmic trading with deep learning experiments

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning-500-questions

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

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

differentiable-particle-filters

Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"

dnn-quant

Tool for building deep / recurrent neural network models for systematic fundamental investing.

eastmoney_spider

爬取东方财富网上市公司的财务报表数据

eaststock

东方财富网数据采集

echarts

A powerful, interactive charting and visualization library for browser

echarts-python

Generate Echarts options with Python.

emd-alstm-multi-factor-stock-profit-prediction

Multi-Factor Stock Profit Prediction Using EMD-ALSTM

emd.jl

⛔️ DEPRECATED Empirical Mode Decomposition Package

filterpy

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'.

financial-machine-learning

A curated list of practical financial machine learning tools and applications.