Pinned Repositories
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
Aequitas
Aequitas, a directed fairness testing framework machine learning models.
awesome-interpretable-machine-learning
Coding-Practice
Graduate-projects
interpretable-ml-book
Book about interpretable machine learning
Projects
These are projects I am doing in my free time to acquire more knowledge
pytorch-Deep-Learning
Deep Learning (with PyTorch)
react-multi-choice-quiz
Multiple choice quiz built with React
Research-Projects
kalikhademi's Repositories
kalikhademi/Graduate-projects
kalikhademi/Coding-Practice
kalikhademi/Projects
These are projects I am doing in my free time to acquire more knowledge
kalikhademi/pytorch-Deep-Learning
Deep Learning (with PyTorch)
kalikhademi/react-multi-choice-quiz
Multiple choice quiz built with React
kalikhademi/Research-Projects
kalikhademi/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
kalikhademi/Aequitas
Aequitas, a directed fairness testing framework machine learning models.
kalikhademi/awesome-interpretable-machine-learning
kalikhademi/interpretable-ml-book
Book about interpretable machine learning
kalikhademi/MODAtesting
testing script for our code
kalikhademi/AQProject
AQ Project
kalikhademi/bpdmtutorial
kalikhademi/cf-feasibility
Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
kalikhademi/cozmo-python-sdk
Anki Cozmo Python SDK
kalikhademi/DecisionTree.jl
Julia implementation of Decision Tree (CART) and Random Forest algorithms
kalikhademi/DrWhy
DrWhy is the collection of tools for Explainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
kalikhademi/EPIC_Simulator
kalikhademi/Explainable-AI-1
This repository is being maintained by https://github.com/MohammadYousufHussain
kalikhademi/Explainable_AI_image_classification
Using Shapley values to explain Convoluational Neural Networks. You can run the code on a browser with colabs
kalikhademi/explainableAI
Teaching Cozmo to explain its actions using reinforcement learning.
kalikhademi/fairlearn
A Python package to assess and improve fairness of machine learning models.
kalikhademi/interpretable_machine_learning_with_python
Practical techniques for interpreting machine learning models.
kalikhademi/mini-musical-neural-net
Explaining the breakdown of Open AI's music generation project
kalikhademi/mli-resources
H2O.ai Machine Learning Interpretability Resources
kalikhademi/MLTutorial_FAMU
Short tutorial introducing machine learning to students
kalikhademi/wad-ai-congress-2018
Practical example of techniques for explainable Deep Learning from Simon Stiebellehner's (https://github.com/stiebels) talk at We Are Developers AI Congress 2018.
kalikhademi/xai
XAI - An eXplainability toolbox for machine learning
kalikhademi/xai-1
Explainable AI
kalikhademi/xai_nlp
NLP-based explainable AI