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ACPI Public
Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal approach by employing a weighting strategy.
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Awesome-explainable-AI Public
Forked from wangyongjie-ntu/Awesome-explainable-AIA collection of research materials on explainable AI/ML
MIT License UpdatedMar 2, 2023 -
MAPIE Public
Forked from scikit-learn-contrib/MAPIEA scikit-learn-compatible module for estimating prediction intervals.
Jupyter Notebook BSD 3-Clause "New" or "Revised" License UpdatedFeb 1, 2023 -
acv00 Public
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based m…
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A game theoretic approach to explain the output of any machine learning model.
Jupyter Notebook MIT License UpdatedJun 18, 2021 -
interpretable-ml-book Public
Forked from christophM/interpretable-ml-bookBook about interpretable machine learning
Jupyter Notebook Other UpdatedFeb 18, 2021 -
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ENSIIE_Intership Public
Forked from GuangYueCHEN/ENSIIE_IntershipJupyter Notebook UpdatedSep 6, 2019 -
Presentation and implementation of reinforcement learning and bayesian RL techniques
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Dynamic implementation of different solutions to the bandit problem (Thompson sampling, UCB, epsilon-greedy...) with Bokeh.
1 UpdatedAug 29, 2019 -
Implementation and comparaison of the main algorithm in Elad hazan's papers : https://ocobook.cs.princeton.edu/OCObook.pdf
Jupyter Notebook UpdatedAug 29, 2019 -
mathematics-projects Public
Study of branching random walk and simulation of some theoretical results
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Machine-learning-projects Public
Reviews of some machine learning papers or domains
UpdatedAug 29, 2019 -
Yolo-digit-detector Public
Forked from penny4860/Yolo-digit-detectorImplemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
Jupyter Notebook MIT License UpdatedMar 14, 2018
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