KESilverTide's Stars
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
azmyrajab/polars_ols
Polars least squares extension - enables fast linear model polar expressions
vicaws/arbitragerepair
Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.
skfolio/skfolio
Python library for portfolio optimization built on top of scikit-learn
ddotta/awesome-polars
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
RyanLucas3/MacroRandomForest
A modification of traditional random forest for time-series forecasting
agronholm/sqlacodegen
Automatic model code generator for SQLAlchemy
vollib/vollib
Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.
waico/SKAB
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
PrefectHQ/marvin
✨ Build AI interfaces that spark joy
macrosynergy/macrosynergy
Macrosynergy Quant Research
DAGWorks-Inc/hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
datapane/datapane
Build and share data reports in 100% Python
jasonstrimpel/volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
predict-idlab/plotly-resampler
Visualize large time series data with plotly.py
robcarver17/pysystemtrade
Systematic Trading in python
great-expectations/great_expectations
Always know what to expect from your data.
saharmor/awesome-chatgpt
Selected ChatGPT demos, tools, articles, and more ✨
ibis-project/ibis
the portable Python dataframe library
snehilvj/dash-mantine-components
Plotly Dash components based on Mantine React Components
StratoDem/sd-material-ui
material-ui components for Dash
balajissp/dash-shap-components
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
jjakimoto/finance_ml
Advances in Financial Machine Learning
quarkfin/qf-lib
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Ekeany/Boruta-Shap
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
fraunhoferportugal/tsfel
An intuitive library to extract features from time series.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
mindsdb/mindsdb
The platform for building AI from enterprise data