Stars
Flexible time series feature extraction & processing
Data processing and instruction calling with ML, LLM and Vision LLM
MulDIC: A Multimodal Deep Learning Model using Text, Image, and Code Data for Improving Issue Classification Tasks
tomwarrens / AIX360
Forked from Trusted-AI/AIX360Interpretability 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
General purpose unsupervised sentence representations
Scikit-learn compatible implementation of the Gauss Rank scaling method
Supplementary code for the paper "Hyperbolic Image Embeddings".
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.
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
Notes and exercise attempts for "An Introduction to Statistical Learning"