Karim-53
Hi, I am Karim. I am an external PhD student at LMU (Munich) working in collaboration with Porsche and IDIADA on Explainable AI.
IDIADA GmbH, Porsche AGGermany
Karim-53's Stars
sghalebikesabi/nshap
Code accompanying 'On Locality of Local Explanation Models'
csinva/csinva.github.io
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
dylan-slack/Fooling-LIME-SHAP
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
jakezatecky/react-checkbox-tree
A simple and elegant checkbox tree for React.
sql-js/react-sqljs-demo
A demonstration showing how to use sql.js with create-react-app
fiduswriter/simple-datatables
DataTables but in TypeScript transpiled to Vanilla JS
hbaniecki/adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
SinaMohseni/Awesome-XAI-Evaluation
Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
iancovert/sage-experiments
Code for experiments in SAGE paper (NeurIPS 2020)
iancovert/sage
For calculating global feature importance using Shapley values.
abacusai/xai-bench
XAI-Bench is a library for benchmarking feature attribution explainability techniques
flecue/xai-aaai2022
andosa/treeinterpreter
rapidsai/gputreeshap
mtsang/archipelago
Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2020
shap/shap
A game theoretic approach to explain the output of any machine learning model.
pxlrbt/move-wsl
Easily move your WSL distros VHDX file to a new location.
CemraJC/clickfix
Stop annoying repeat clicks - tame your mouse
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
suragnair/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
agi-templar/MediaCloudDataDownloader
Download full-length articles from media outlets.
shakedzy/dython
A set of data tools in Python
TarteelAI/tarteel-ml
Pre-processing and training scripts for the Tarteel Dataset
DorraElMekki/Kidney-Segmentation-using-PyTorch-FCN-ResNet
The kidney is a structurally complex organ essential for human survival. It is composed of 8 to 18 pyramid-shaped lobes. Each of them consists of an outer renal cortex and an inner renal medulla. Between these sections are the nephrons. Kidney pathologies can be categorized based on the affected segment of the nephron: the glomerulus, the tubules, the interstitium, or the blood supply. Among these nephron components, we will focus on the glomerulus, a microscopic filter of blood. In this context, we aim to identify glomeruli in Periodic Acid-Schiff (PAS) stained microscopy data by means of segmentation algorithms.
Karim-53/SGG
Pytorch implementation of a Scene Graph Generation (SGG) model
qd-cae/qd-cae-python
qd python library for CAE (currently mostly LS-Dyna)
optuna/optuna
A hyperparameter optimization framework
Karamya/joker
Computers are better than human in solving a wide variety of problems. If there is something which they are not good at and can be said as a final frontier of artificial intelligence is having a sense of humour. They say, a journey of thousand miles begin with a single step. Here is my step in that direction. Please have a look. I am open to any suggestions in taking the subsequent steps :)
CyrineDhaou/Zindi
KaihuaTang/Scene-Graph-Benchmark.pytorch
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”