VanyTang

VanyTang's Stars

• ClimbsRocks/auto_ml

  [UNMAINTAINED] Automated machine learning for analytics & production

  Language:Python1.6k310

• fengdu78/Data-Science-Notes

  数据科学的笔记以及资料搜集

  Language:Jupyter Notebook8.1k3.1k

• filodb/FiloDB

  Distributed Prometheus time series database

  Language:Scala1.4k225

• cylondata/cylon

  Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.

  Language:C++29848

• Squadrick/shadesmar

  Fast C++ IPC using shared memory

  Language:C++55084

• facebook/folly

  An open-source C++ library developed and used at Facebook.

  Language:C++28.2k5.5k

• sangyx/deep-finance

  Datasets, papers and books on AI & Finance.

  1.4k276

• wesm/feather

  Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow

  Language:JavaScript2.7k169

• ashishpatel26/Amazing-Feature-Engineering

  Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

  Language:Jupyter Notebook656255

• owent/libatbus

  用于搭建高性能、全异步、树形结构的BUS消息系统的跨平台框架库

  Language:C++22063

• dotnet/interactive

  .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

  Language:C#2.9k382

• sam31415/timeseriescv

  Scikit-learn style cross-validation classes for time series data

  Language:Python26863

• conanhujinming/tips_for_interview

  我的一些面试心得；自学CS历程分享；找工作求职经验分享

  3.7k345

• h2oai/datatable

  A Python package for manipulating 2-dimensional tabular data structures

  Language:C++1.8k155

• firmai/pandapy

  PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

  Language:Python54766

• brennerm/PyTricks

  Collection of less popular features and tricks for the Python programming language

  Language:Python3.1k503

• pandas-dev/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python43.4k17.8k

• orrsella/soft-eng-interview-prep

  Everything you need to know for a Software Engineering interview

  2.1k450

• pingcap/awesome-database-learning

  A list of learning materials to understand databases internals

  9.4k1.1k

• 623637646/996.Leave

  逃离996

  6.2k371

• nlohmann/json

  JSON for Modern C++

  Language:C++42.4k6.7k

• hudson-and-thames/mlfinlab

  MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

  Language:Python3.9k1.1k

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.4k1.7k

• databricks/koalas

  Koalas: pandas API on Apache Spark

  Language:Python3.3k356

• aloneguid/parquet-dotnet

  Fully managed Apache Parquet implementation

  Language:C#601151

• justinamiller/SoftwareArchitect

  Path to a Software Architect

  8.7k776

• modin-project/modin

  Modin: Scale your Pandas workflows by changing a single line of code

  Language:Python9.8k651

• hosseinmoein/DataFrame

  C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

  Language:C++2.4k308

• TeamStuQ/skill-map

  程序员技能图谱

  Language:HTML20k4.3k

• LastAncientOne/Stock_Analysis_For_Quant

  Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

  Language:Jupyter Notebook1.7k457