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Liquefaction-gravel-eml-2023 Public
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.
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This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.
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ABAQUS-Tools Public
Forked from amaelkady/ABAQUS-ToolsFiles and tools related to the Youtube ABAQUS tutorial series
GNU General Public License v3.0 UpdatedJun 8, 2025 -
python_for_microscopists Public
Forked from bnsreenu/python_for_microscopistshttps://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Jupyter Notebook UpdatedApr 7, 2023 -
YouTube-Tutorials-1 Public
Forked from ad17171717/YouTube-TutorialsRepo containing scripts for videos featured on Adrian Dolinay's YouTube channel.
Jupyter Notebook UpdatedOct 31, 2022 -
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xgboost Public
Forked from dmlc/xgboostScalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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LightGBM Public
Forked from lightgbm-org/LightGBMA fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
C++ MIT License UpdatedFeb 6, 2022 -
DiCE Public
Forked from interpretml/DiCEGenerate Diverse Counterfactual Explanations for any machine learning model.
Python MIT License UpdatedJan 20, 2022 -
alibi Public
Forked from SeldonIO/alibiAlgorithms for explaining machine learning models
Python Apache License 2.0 UpdatedJan 20, 2022 -
py Public
Forked from codebasics/pyRepository to store sample python programs for python learning
Jupyter Notebook UpdatedJan 16, 2022 -
lime Public
Forked from marcotcr/limeLime: Explaining the predictions of any machine learning classifier
JavaScript BSD 2-Clause "Simplified" License UpdatedJan 14, 2022 -
Fooling-LIME-SHAP Public
Forked from dylan-slack/Fooling-LIME-SHAPAdversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
Jupyter Notebook MIT License UpdatedJan 13, 2022 -
CTGAN Public
Forked from sdv-dev/CTGANConditional GAN for generating synthetic tabular data.
Python MIT License UpdatedJan 12, 2022 -
AI101 Public
Forked from Xerefic/AI101Analytics Club Sessions 2022
Jupyter Notebook UpdatedJan 11, 2022 -
Machine-Learning-Collection Public
Forked from aladdinpersson/Machine-Learning-CollectionA resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Python MIT License UpdatedDec 30, 2021 -
iml Public
Forked from giuseppec/imliml: interpretable machine learning R package
R Other UpdatedDec 30, 2021 -
GAN-for-tabular-data Public
Forked from Diyago/Tabular-data-generationWe well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Python Apache License 2.0 UpdatedDec 26, 2021 -
SDMetrics Public
Forked from sdv-dev/SDMetricsMetrics to evaluate quality and efficacy of synthetic datasets.
Python MIT License UpdatedDec 22, 2021 -
A game theoretic approach to explain the output of any machine learning model.
Jupyter Notebook MIT License UpdatedDec 14, 2021 -
ALEPython Public
Forked from blent-ai/ALEPythonPython Accumulated Local Effects package
Python Apache License 2.0 UpdatedDec 8, 2021 -
5-Min-Machine-Learning Public
Forked from Dylanlee777/5-Min-Machine-LearningJupyter Notebook UpdatedDec 1, 2021 -
awesome-gradient-boosting-papers Public
Forked from benedekrozemberczki/awesome-gradient-boosting-papersA curated list of gradient boosting research papers with implementations.
Python Creative Commons Zero v1.0 Universal UpdatedNov 27, 2021 -
interpret Public
Forked from interpretml/interpretFit interpretable models. Explain blackbox machine learning.
C++ MIT License UpdatedNov 19, 2021 -
anchor Public
Forked from marcotcr/anchorCode for "High-Precision Model-Agnostic Explanations" paper
Jupyter Notebook BSD 2-Clause "Simplified" License UpdatedNov 17, 2021 -
Interpretable-Machine-Learning-with-Python Public
Forked from PacktPublishing/Interpretable-Machine-Learning-with-PythonInterpretable Machine Learning with Python, published by Packt
Jupyter Notebook MIT License UpdatedNov 10, 2021 -
awesome-machine-learning-interpretability Public
Forked from jphall663/awesome-machine-learning-interpretabilityA curated list of awesome machine learning interpretability resources.
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deep-learning-keras-tf-tutorial Public
Forked from codebasics/deep-learning-keras-tf-tutorialLearn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…
Jupyter Notebook UpdatedNov 3, 2021 -
Pullout-coefficient_XGBoost Public
User interface to predict pullout interaction coefficients of geogrid through XGBoost model
Python UpdatedJul 8, 2021 -
Generative-Adversarial-Network-for-an-MNIST-Handwritten-Digits-From-Scratch-in-Keras Public
Forked from AarohiSingla/Generative-Adversarial-Network-for-an-MNIST-Handwritten-Digits-From-Scratch-in-KerasJupyter Notebook UpdatedJun 21, 2021
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