facebookresearch / balance
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
☆692Updated this week
Alternatives and similar repositories for balance:
Users that are interested in balance are comparing it to the libraries listed below
- just a bunch of useful embeddings for scikit-learn pipelines☆483Updated last month
- Doubt your data, find bad labels.☆509Updated 7 months ago
- A Simple Bulk Labelling Tool☆568Updated 2 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,347Updated this week
- skops is a Python library helping you share your scikit-learn based models and put them in production☆467Updated last week
- Fast SHAP value computation for interpreting tree-based models☆533Updated last year
- Natural Intelligence is still a pretty good idea.☆804Updated 7 months ago
- Prepping tables for machine learning☆1,305Updated this week
- Python package for conformal prediction☆480Updated 5 months ago
- Extra blocks for scikit-learn pipelines.☆1,310Updated last month
- A Library for Uncertainty Quantification.☆902Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,432Updated 2 weeks ago
- Hopular: Modern Hopfield Networks for Tabular Data☆309Updated 2 years ago
- Streamline scikit-learn model comparison.☆146Updated 2 years ago
- A Python package for causal inference in quasi-experimental settings☆954Updated this week
- Gain clues from clustering!☆313Updated 7 months ago
- ☆197Updated this week
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆718Updated last year
- Combining tree-boosting with Gaussian process and mixed effects models☆591Updated last week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆313Updated last month
- A general purpose recommender metrics library for fair evaluation.☆281Updated last year
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,083Updated 8 months ago
- skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.☆440Updated this week
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆689Updated 7 months ago
- Data Quality assessment with one line of code☆434Updated last month
- Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)☆309Updated this week
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆206Updated 4 months ago
- Kaggle Pipeline for tabular data competitions☆204Updated 8 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆327Updated this week