Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
Repository Index
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A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
- machine-learning
- machine-intelligence
- artificial-intelligence
- reinforcement-learning
Statistical data visualization in Python
Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
- machine-learning-algorithms
- code
- statistical-learning-method
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
- trading-strategies
- quantitative-trading
- trading-bot
- quantitative-finance
Bayesian Modeling and Probabilistic Programming in Python
- python
- statistical-analysis
- bayesian-inference
- mcmc
TranslatedStatistical learning methods, Statistical Learning Methods (2nd edition) [Li Hang] [notes, code, notebook, references, Errata, lihang]
- book
- lihang
- statistical-learning-methods
- machine-learning
Edit Banana: A framework for converting statistical formats into editable.
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
A light-weight, flexible, and expressive statistical data testing library
- pandas
- validation
- schema
- dataframes
Statistical and Algorithmic Investing Strategies for Everyone
- machine-learning
- algorithmic-trading
- investment-portfolio
- portfolio-optimization
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
A collection of research papers on decision, classification and regression trees with implementations.
- decision-tree
- decision-tree-classifier
- gradient-boosting
- gradient-boosting-machine
Inspects Python source files and provides information about type and location of classes, methods etc
- hactoberfest
- linter
- linters-config
- statistical-analysis
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
Module for statistical learning, with a particular emphasis on time-dependent modelling
- machine-learning
- python
- point-process
- optimization
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
- algorithmic-trading
- kalshi
- polymarket
- python
Platform for building statistical models of cities and regions
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
- posthoc-comparisons
- posthoc-tests
- python
- scikit
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
Statistical NLG for spoken dialogue systems
- natural-language-generation
- dialogue
- seq2seq
- python
Python library for statistical analysis of mRNA and protein distributions in fluorescent microscopy images