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acpi

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.

acv00

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 models.

awesome-explainable-ai

A collection of research materials on explainable AI/ML

bandit-problem-with-thompson-sampling

Dynamic implementation of different solutions to the bandit problem (Thompson sampling, UCB, epsilon-greedy...) with Bokeh.

battle-of-online-optimization-algorithm

Implementation and comparaison of the main algorithm in Elad hazan's papers : https://ocobook.cs.princeton.edu/OCObook.pdf

bayesian-reinforcement-learning

Presentation and implementation of reinforcement learning and bayesian RL techniques

deep-learning-projects

ensiie_intership

interpretable-ml-book

Book about interpretable machine learning

machine-learning-projects

Reviews of some machine learning papers or domains

mapie

A scikit-learn-compatible module for estimating prediction intervals.

mathematics-projects

Study of branching random walk and simulation of some theoretical results

salimamoukou.github.io

shap

A game theoretic approach to explain the output of any machine learning model.

yolo-digit-detector

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.