Pinned Repositories
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
salimamoukou's Repositories
salimamoukou/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.
salimamoukou/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.
salimamoukou/Bayesian-reinforcement-learning
Presentation and implementation of reinforcement learning and bayesian RL techniques
salimamoukou/Bandit-problem-with-Thompson-sampling
Dynamic implementation of different solutions to the bandit problem (Thompson sampling, UCB, epsilon-greedy...) with Bokeh.
salimamoukou/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
salimamoukou/battle-of-online-optimization-algorithm
Implementation and comparaison of the main algorithm in Elad hazan's papers : https://ocobook.cs.princeton.edu/OCObook.pdf
salimamoukou/Deep-learning-projects
salimamoukou/ENSIIE_Intership
salimamoukou/interpretable-ml-book
Book about interpretable machine learning
salimamoukou/Machine-learning-projects
Reviews of some machine learning papers or domains
salimamoukou/MAPIE
A scikit-learn-compatible module for estimating prediction intervals.
salimamoukou/mathematics-projects
Study of branching random walk and simulation of some theoretical results
salimamoukou/salimamoukou.github.io
salimamoukou/shap
A game theoretic approach to explain the output of any machine learning model.
salimamoukou/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.