septem9907's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
TheAlgorithms/Python
All Algorithms implemented in Python
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
google/styleguide
Style guides for Google-originated open-source projects
ageron/handson-ml2
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.
vnpy/vnpy
基于Python的开源量化交易平台开发框架
terryum/awesome-deep-learning-papers
The most cited deep learning papers
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
apache/arrow
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
microsoft/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
lballabio/QuantLib
The QuantLib C++ library
ibis-project/ibis
the portable Python dataframe library
microsoft/SynapseML
Simple and Distributed Machine Learning
paperswithbacktest/awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
microsoft/Quantum
Microsoft Quantum Development Kit Samples
robcarver17/pysystemtrade
Systematic Trading in python
wesm/feather
Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
CamDavidsonPilon/lifelines
Survival analysis in Python
hadley/stats337
Readings in applied data science
TomAugspurger/effective-pandas
Source code for my collection of articles on using pandas.
databricks/LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
business-science/tidyquant
Bringing financial analysis to the tidyverse
dabl/dabl
Data Analysis Baseline Library
quantlib/quantlib.github.io
The contents of the QuantLib web site