frosenwind's repositories
mlcourse.ai
Open Machine Learning Course
CrossSection
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
quant-learning
:books: Quant 教程整理
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
machine_learning_examples
A collection of machine learning examples and tutorials.
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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.
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Greenblatt-Magic-Formula-Value-Investing
Implementation of Joel Greenblatt's magic formula, which he described in his book - "The Little Book That Still Beats the Market".
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
ml_investment
Investment tools
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
statsmodels
Statsmodels: statistical modeling and econometrics in Python
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
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'.
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
awesome-deep-trading
List of awesome resources for machine learning-based algorithmic trading
ValueInvesting
For value investing dashboard
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.