Stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
A collection of various deep learning architectures, models, and tips
FinRL: Financial Reinforcement Learning. 🔥
TensorFlow Tutorials with YouTube Videos
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
Code for Tensorflow Machine Learning Cookbook
搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。
Portfolio and risk analytics in Python
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Code Repository for Machine Learning with PyTorch and Scikit-Learn
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Quantitative research and educational materials
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
《统计学习方法》笔记-基于Python算法实现
Machine Learning in Finance: From Theory to Practice Book
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
An introduction to network analysis and applied graph theory using Python and NetworkX
Stock Trading Bot using Deep Q-Learning
Sentiment Analysis with LSTMs in Tensorflow
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。
Code, exercises and tutorials of my personal blog ! 📝
Mostly experiments based on "Advances in financial machine learning" book