ChandlerBBT's Stars
Rdatatable/data.table
R's data.table package extends data.frame:
RcppCore/Rcpp
Seamless R and C++ Integration
mlpack/mlpack
mlpack: a fast, header-only C++ machine learning library
hosseinmoein/DataFrame
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
erykml/Python-for-Finance-Cookbook-2E
The repository of "Python for Finance Cookbook" 2nd edition
mootdx/mootdx
通达信数据读取的一个简便使用封装
twopirllc/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Kensuke-Hinata/statistic
collecting books, papers and docs.
paperswithbacktest/awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
zjp-CN/rustdx
受 pytdx 启发的 A 股数据获取工具
byrnexu/betterquant
📈 Better Quant
haifengl/smile
Statistical Machine Intelligence & Learning Engine
jtablesaw/tablesaw
Java dataframe and visualization library
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
KennFalcon/elasticsearch-analysis-hanlp
HanLP Analyzer for Elasticsearch
JustinMShea/wooldridge
The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.
xieliaing/Data_Science_Industrial_Practice
《数据科学工程实践》一书的Jupyter Notebook库,以及交流园地。
cupy/cupy
NumPy & SciPy for GPU
gregberns/ABTesting
Papers and Resources on running A/B Experiments
asuagar/statrethink-course-numpyro-2019
Statistical Rethinking: A Bayesian Course Using Python and NumPyro
pymc-devs/pymc-resources
PyMC educational resources
chansonZ/book-ml-sem
《机器学习:软件工程方法与实现》Method and implementation of machine learning software engineering
Skylark0924/Machine-Learning-is-ALL-You-Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
topepo/FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
topepo/APM_Exercises
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
yuyingfeng/MostHarmlessQuantitativeFinance
Codes for Mostly Harmless Quantitative Finance
towardsai/tutorials
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial