Flexible time series feature extraction & processing

Data processing with ML, LLM and Vision LLM

MulDIC: A Multimodal Deep Learning Model using Text, Image, and Code Data for Improving Issue Classification Tasks

Interpretability and explainability of data and machine learning models

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Probabilistic time series modeling in Python

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

Bayesian model configuration, selection and averaging in complex regression contexts

Generate target statistics

General purpose unsupervised sentence representations

Scikit-learn compatible implementation of the Gauss Rank scaling method

Supplementary code for the paper "Hyperbolic Image Embeddings".

My toolbox for data analysis. :)

Linear Predictor Stacker aims at optimizing predictor's weights against a ML metric

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Prepping tables for machine learning

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

Python implementation of functional data analysis methods applied to calibration of numerical models with functional response

A modular active learning framework for Python

CNNs for sentence classification

Deep Learning for humans

Notes and exercise attempts for "An Introduction to Statistical Learning"