Clearbox-AI / clearbox-synthetic-kitLinks
Clearbox AI's all-in-one solution for generation and evaluation of synthetic tabular and time-series data.
☆44Updated last month
Alternatives and similar repositories for clearbox-synthetic-kit
Users that are interested in clearbox-synthetic-kit are comparing it to the libraries listed below
Sorting:
- An open-source Python library for the assessment of utility and privacy performance of any tabular synthetic dataset.☆23Updated 2 months ago
- A Python library to check for data quality and automatically generate data tests.☆42Updated last year
- Shapley Interactions and Shapley Values for Machine Learning☆608Updated this week
- 𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation re…☆520Updated this week
- Inizialmente repo dei notebook per il corso base di Data Science tenuto da Goodwill. Adesso contenitore di attività didattica (e studio) …☆40Updated 2 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,490Updated this week
- Python package for conformal prediction☆516Updated 2 months ago
- Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖☆338Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- Frouros: an open-source Python library for drift detection in machine learning systems.☆224Updated 2 weeks ago
- Machine learning library for uncertainty estimation of black-box classification systems☆43Updated 2 years ago
- Everything a Machine Learning Engineer needs to know, from statistics, probability theory, ML, DL and AI.☆22Updated 3 years ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,260Updated 5 months ago
- Effector - a Python package for global and regional effect methods☆115Updated last month
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,438Updated last month
- Compilation of high-profile real-world examples of failed machine learning projects☆733Updated last year
- A novel approach for synthesizing tabular data using pretrained large language models☆321Updated 2 months ago
- pymdma☆50Updated last month
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,449Updated this week
- 👋 Xplique is a Neural Networks Explainability Toolbox☆697Updated 10 months ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆246Updated last week
- OmniXAI: A Library for eXplainable AI☆948Updated last year
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆582Updated 2 months ago
- Synthetic Data SDK ✨☆622Updated this week
- A Python Rules Engine - Make rule handling simple☆45Updated last month
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆337Updated last week
- Data Quality assessment with one line of code☆447Updated 3 weeks ago
- A scikit-learn-compatible module for comparing imputation methods.☆138Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆307Updated 4 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆438Updated last year