๐งฎ Bayesian networks in Python
โ267Jul 21, 2026Updated 3 weeks ago
Alternatives and similar repositories for sorobn
Users that are interested in sorobn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Infโฆโ638Updated this week
- PyBNesian is a Python package that implements Bayesian networks.โ49Aug 12, 2025Updated last year
- Bayesian Networks in Pythonโ149Aug 16, 2023Updated 2 years ago
- โจ๐ฒ Hierarchical extreme multiclass and multi-label classification.โ18Jan 5, 2023Updated 3 years ago
- Python Toolkit for Causal and Probabilistic Reasoningโ3,313Updated this week
- 1-Click AI Models by DigitalOcean Gradient โข AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- โ15Nov 28, 2023Updated 2 years ago
- Autoregressive Bayesian linear modelโ21Sep 10, 2020Updated 5 years ago
- ๐ค Creation of an RL environment with Unity, where an agent must learn to survive by moving ๐ฆฟ and shooting๐ซ, using ML-Agents !โ19Oct 11, 2021Updated 4 years ago
- Bayesian network structure learningโ18May 22, 2022Updated 4 years ago
- real time recommendation playgroundโ15Nov 7, 2022Updated 3 years ago
- ๐๐ Lets Python do AB testing analysis.โ75Apr 15, 2025Updated last year
- Fast approximate joins on string columns for polars dataframes.โ19Apr 15, 2026Updated 3 months ago
- A streaming ETL for fishโ13Jan 24, 2019Updated 7 years ago
- A rules induction system for data mining and exploratory data analysisโ11Jul 17, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer โข AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A Python library that helps data scientists to infer causation rather than observing correlation.โ2,473Updated this week
- This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumerโฆโ54Updated this week
- Toy environment set for multi-agent reinforcement learning and moreโ38Nov 26, 2024Updated last year
- Python package for emotion analysis in Frenchโ16Jun 25, 2021Updated 5 years ago
- Tidy up your machine learning experimentsโ17Sep 5, 2019Updated 6 years ago
- general functions for your data .pipe()-lines.โ17Nov 8, 2023Updated 2 years ago
- Extra functionalities for riverโ15May 15, 2024Updated 2 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximizationโ14Jul 8, 2022Updated 4 years ago
- PGM_PyLib: A Python Library for Inference and Learning of Probabilistic Graphical Modelsโ34May 3, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer โข AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Fast and incremental explanations for online machine learning models. Works best with the river framework.โ56Dec 26, 2024Updated last year
- Knowledge Base Embedding By Cooperative Knowledge Distillationโ67Oct 2, 2022Updated 3 years ago
- Fast, flexible and easy to use probabilistic modelling in Python.โ3,542Mar 6, 2025Updated last year
- pymc-learn: Practical probabilistic machine learning in Pythonโ232Jan 24, 2021Updated 5 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.โ30Updated this week
- ๐ค Measure edit distance based on keyboard layoutโ66Oct 5, 2025Updated 10 months ago
- ๐ Stanford CS 228 - Probabilistic Graphical Modelsโ100Jan 15, 2019Updated 7 years ago
- The stream-learn is an open-source Python library for difficult data stream analysis.โ67May 5, 2026Updated 3 months ago
- Exploratory analysis of Bayesian models with Pythonโ1,845Updated this week
- Deploy open-source AI quickly and easily - Special Bonus Offer โข AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Input/Output functions for pre- and post-processing SWAT (hydrological model) files in Rโ11May 20, 2017Updated 9 years ago
- [Intemarchรฉ] Sales forecasting challengeโ11Jun 23, 2021Updated 5 years ago
- PBNT: Python Bayes Network Toolboxโ23Aug 21, 2018Updated 7 years ago
- Probabilistic prediction with XGBoost.โ121Mar 22, 2025Updated last year
- dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecastingโ22Sep 10, 2020Updated 5 years ago
- A Python package for causal inference in quasi-experimental settingsโ1,176Updated this week
- Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs samplingโ58Apr 23, 2026Updated 3 months ago