kalikhademi Goto Github PK

adversarialnetspapers

The classical paper list with code about generative adversarial nets

aequitas

Aequitas, a directed fairness testing framework machine learning models.

aqproject

AQ Project

awesome-interpretable-machine-learning

bpdmtutorial

cf-feasibility

Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

coding-practice

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cozmo-python-sdk

Anki Cozmo Python SDK

decisiontree.jl

Julia implementation of Decision Tree (CART) and Random Forest algorithms

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.

epic_simulator

explainable-ai

explainable-ai-1

This repository is being maintained by https://github.com/MohammadYousufHussain

explainable-ai-2

explainable_ai_image_classification

Using Shapley values to explain Convoluational Neural Networks. You can run the code on a browser with colabs

explainableai

Teaching Cozmo to explain its actions using reinforcement learning.

fairlearn

A Python package to assess and improve fairness of machine learning models.

graduate-projects

interpretable-ml-book

Book about interpretable machine learning

interpretable_machine_learning_with_python

Practical techniques for interpreting machine learning models.

mini-musical-neural-net

Explaining the breakdown of Open AI's music generation project

mli-resources

H2O.ai Machine Learning Interpretability Resources

mltutorial_famu

Short tutorial introducing machine learning to students

modatesting

testing script for our code

opencv2-python

Contains some Python Samples with new cv2 interface of OpenCV

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