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BayesWitnesses /m2cgen

Star2.9k

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

javascript ruby python c java go rust php machine-learning haskell r lightning csharp scikit-learn statistical-learning xgboost lightgbm statsmodels dartlang

UpdatedAug 3, 2024
Python

mars-project /mars

Star2.8k

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

python machine-learning tensorflow numpy scikit-learn pandas pytorch xgboost lightgbm tensor dask ray dataframe statsmodels joblib

UpdatedJan 2, 2024
Python

dipanjanS /practical-machine-learning-with-python

Star2.4k

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python machine-learning natural-language-processing computer-vision deep-learning jupyter notebook clustering tensorflow scikit-learn keras jupyter-notebook pandas spacy nltk classification convolutional-neural-networks prophet statsmodels time-series-analysis

UpdatedMar 31, 2024
Jupyter Notebook

unslothai /hyperlearn

Sponsor

Star2.4k

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

python data-science machine-learning statistics research deep-learning neural-network gpu optimization scikit-learn pytorch econometrics data-analysis tensor regression-models statsmodels

UpdatedNov 19, 2024
Jupyter Notebook

tirthajyoti /Stats-Maths-with-Python

Star977

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

python data-science machine-learning statistics analytics clustering numpy probability mathematics pandas scipy matplotlib inferential-statistics hypothesis-testing anova statsmodels bayesian-statistics numerical-analysis normal-distribution mathematical-programming

UpdatedSep 18, 2022
Jupyter Notebook

easystats /report

Sponsor

Star710

📜 🎉 Automated reporting of objects in R

r apa reporting models automatic reports report rstats scientific bayesian r-package manuscript hacktoberfest statsmodels describe automated-report-generation easystats anovas

UpdatedDec 1, 2025
R

jthomperoo /predictive-horizontal-pod-autoscaler

Star372

Horizontal Pod Autoscaler built with predictive abilities using statistical models

python go kubernetes golang replicas operator predictions predictive-analytics autoscaling statsmodels statistical-models autoscaler operator-sdk operator-framework horizontal-pod-autoscaler

UpdatedOct 11, 2023
Go

carlomazzaferro /scikit-hts

Star226

Hierarchical Time Series Forecasting with a familiar API

machine-learning time-series scikit-learn hierarchical-data statsmodels time-series-analysis fbprophet exponential-smoothing

UpdatedMay 12, 2023
Python

ajitsingh98 /Time-Series-Analysis-and-Forecasting-with-Python

Star205

Time Series Analysis and Forecasting in Python

numpy machine-learning-algorithms pandas stats python-3 statsmodels lstm-neural-networks time-series-analysis fbprophet sarimax moving-average stats-api arima-model multivariate-timeseries time-series-forecasting arima-forecasting holt-winters-forecasting prophet-facebook univariate-timeseries deep-learning-for-time-series

UpdatedJul 17, 2024
Jupyter Notebook

SoftwareAG /nyoka

Star189

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

python machine-learning scikit-learn python-library xgboost lightgbm pmml statsmodels nyoka pmml-exporter

UpdatedJan 31, 2024
Python

Mogeng /IOHMM

Star172

Input Output Hidden Markov Model (IOHMM) in Python

python machine-learning time-series scikit-learn supervised-learning semi-supervised-learning sequence-to-sequence graphical-models unsupervised-learning hidden-markov-model statsmodels linear-models sequence-labeling

UpdatedJun 9, 2024
Python

heidelbergcement /hcrystalball

Star150

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

wrapper data-science time-series sklearn cross-validation transformer model-selection statsmodels sklearn-compatible fbprophet sarimax time-series-forecasting sklearn-library sklearn-api pmdarima sktime tbats

UpdatedFeb 21, 2024
Python

eigenfoo /tests-as-linear

Star95

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

python scipy statistical-tests statsmodels linear-models

UpdatedAug 21, 2024
HTML

thekioskman /mean_reversion_strategies

Star68

Here I go through the processing of prototyping a mean reversion trading strategy using statistical concepts, then test it in backtrader.

python statistics time-series pandas statsmodels

UpdatedSep 4, 2022
Jupyter Notebook

30lm32 /ml-time-series-analysis-on-sales-data

Star62

Time Series Decomposition techniques and random forest algorithm on sales data

sales sklearn seaborn machinelearning statsmodels datamining time-series-analysis regression-trees sales-forecasting time-series-decomposition

UpdatedApr 29, 2022
Jupyter Notebook

terence-lim /financial-data-science-notebooks

Star52

Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs