Statsmodels: statistical modeling and econometrics in Python

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

BAyesian Model-Building Interface (Bambi) in Python.

Introducing neural networks to predict stock prices

Applied Econometrics Library for Python

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

Time series prediction with Sequential Model and LSTM units

Some experiments about Machine Learning

A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks

A Python library for moderation, mediation and conditional process analysis.

Implementation of Query-guided Regression Network with Context Policy for Phrase Grounding in Tensorflow

a collection of modern sparse (regularized) linear regression algorithms.

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

An intelligently dumb calculator that uses machine learning

This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.

Conditional Associative Logic Memory