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scikit-learn-mooc Public
Forked from INRIA/scikit-learn-moocMachine learning in Python with scikit-learn MOOC
Jupyter Notebook Creative Commons Attribution 4.0 International UpdatedApr 22, 2025 -
awesome-conformal-prediction Public
Forked from valeman/awesome-conformal-predictionA professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Other UpdatedApr 5, 2025 -
interpretable-ml-book Public
Forked from christophM/interpretable-ml-bookBook about interpretable machine learning
Jupyter Notebook Other UpdatedApr 4, 2025 -
PhiK Public
Forked from KaveIO/PhiKPhi_K correlation analyzer library
Python Other UpdatedJan 27, 2025 -
dowhy Public
Forked from py-why/dowhyDoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Python MIT License UpdatedOct 29, 2024 -
causalflow Public
Forked from lcastri/causalflowCausalFlow: a Collection of Methods for Causal Discovery from Time-series
Python GNU General Public License v3.0 UpdatedOct 28, 2024 -
tetrad Public
Forked from cmu-phil/tetradRepository for the Tetrad Project, www.phil.cmu.edu/tetrad.
Java GNU General Public License v2.0 UpdatedOct 18, 2024 -
EconML Public
Forked from py-why/EconMLALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project
Jupyter Notebook Other UpdatedOct 16, 2024 -
causal-learn Public
Forked from py-why/causal-learnCausal Discovery in Python. It also includes (conditional) independence tests and score functions.
Python MIT License UpdatedOct 8, 2024 -
tigramite Public
Forked from jakobrunge/tigramiteTigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Jupyter Notebook GNU General Public License v3.0 UpdatedOct 5, 2024 -
lingam Public
Forked from cdt15/lingamPython package for causal discovery based on LiNGAM.
Python MIT License UpdatedSep 12, 2024 -
rCausalMGM Public
Forked from tyler-lovelace1/rCausalMGMR package for causal MGM algorithms implemented in C++
C++ UpdatedAug 14, 2024 -
Causal-Inference-and-Discovery-in-Python Public
Forked from PacktPublishing/Causal-Inference-and-Discovery-in-PythonCausal Inference and Discovery in Python by Packt Publishing
Jupyter Notebook MIT License UpdatedJul 28, 2024 -
anomaly-detection-resources Public
Forked from yzhao062/anomaly-detection-resourcesAnomaly detection related books, papers, videos, and toolboxes
Python GNU Affero General Public License v3.0 UpdatedJul 11, 2024 -
flow-forecast Public
Forked from AIStream-Peelout/flow-forecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Python GNU General Public License v3.0 UpdatedJun 7, 2024 -
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detectshift Public
Forked from felipemaiapolo/detectshiftDataset shift diagnostics in Python
Python MIT License UpdatedApr 17, 2024 -
GPflow Public
Forked from GPflow/GPflowGaussian processes in TensorFlow
Python Apache License 2.0 UpdatedApr 8, 2024 -
time-series-transformers-review Public
Forked from qingsongedu/time-series-transformers-reviewA professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
MIT License UpdatedApr 6, 2024 -
causality-lab Public
Forked from IntelLabs/causality-labCausal discovery algorithms and tools for implementing new ones
Jupyter Notebook Apache License 2.0 UpdatedApr 3, 2024 -
cs228-notes Public
Forked from ermongroup/cs228-notesCourse notes for CS228: Probabilistic Graphical Models.
SCSS MIT License UpdatedMar 25, 2024 -
causality-tutorial-exercises Public
Forked from CoCaLa/causality-tutorial-exercisesJupyter Notebook MIT License UpdatedMar 20, 2024 -
bayesoptbook.github.io Public
Forked from bayesoptbook/bayesoptbook.github.ioCompanion webpage for the book "Bayesian Optimization" by Roman Garnett
HTML MIT License UpdatedMar 18, 2024 -
pyprobml Public
Forked from probml/pyprobmlPython code for "Probabilistic Machine learning" book by Kevin Murphy
Jupyter Notebook MIT License UpdatedDec 19, 2023 -
causalgraph Public
Forked from causalgraph/causalgraphA python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
Python MIT License UpdatedDec 15, 2023 -
DeepMTP Public
Forked from diliadis/DeepMTPA python-based framework for multi-target prediction
Python MIT License UpdatedOct 30, 2023 -
awesome-causality-data Public
Forked from rguo12/awesome-causality-dataA data index for learning causality.
MIT License UpdatedOct 25, 2023 -
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Probabilistic_ML Public
Forked from philipphennig/Probabilistic_MLMaterial for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
UpdatedSep 18, 2023 -
enhanced-GPDM Public
Forked from PericlesHat/enhanced-GPDMOfficial implementation of Enhanced Gaussian process dynamical models with knowledge transfer for long-term battery degradation forecasting.
Python GNU General Public License v3.0 UpdatedSep 14, 2023
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