Lists (1)
Stars
A list of online resources for quantitative modeling, trading, portfolio management
Stock Trading Bot using Deep Q-Learning
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
Hands-on Deep Reinforcement Learning, published by Packt
Generative Adversarial Network to create synthetic time series
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))
Roadmap to becoming an Artificial Intelligence Expert in 2022
GANs for time series generation in pytorch
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
The Project had moved to elsewhere. Please go to|项目已迁移至别处，请到
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
A unified framework for machine learning with time series
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A Comprehensive Roadmap to Mathematics
SpaceGAN - Augmenting spatial correlation structures
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Python best practices guidebook, written for humans.
[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
Code for Machine Learning for Algorithmic Trading, 2nd edition.