karim-53's Projects
Curated list of resources for college students :octocat: If you like give a :star:
Algorithms used in Competitive Programming
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Solution to this problem using Nondeterministic Search: You have two jugs. One holds 10 liters of water when completely full, the other holds 6 liters when completely full. You have an unlimited source of water to fill either or both jugs, and you may do so as often as you like, but there are no markings on the jugs, so if you fill a jug the only way to know how much water you’ve put in is if you fill it to the top. In addition, you have amazing accuracy in pouring water from one jug to another and never lose a drop. When you do choose to pour water from one jug to another you must keep pouring until either the receiving jug is full or the source jug is emptied of water. You can also always choose to fully empty either jug. Can you get 8 liters of water in the larger jug?
The AutoMLQuantILDetect package utilizes AutoML approaches to detect and quantify system information leakage. It is an advanced toolkit that leverages the power of Automated Machine Learning (AutoML) to quantify information leakage accurately.
AutoSentinel is an Autopilot for UAVs (Copter, Drones ...). it's main goal is continuous monitoring and anomalies detection through video processing and instant decision making.
:star: A curated list of awesome UDFs, example scripts, tools and useful resources for AutoIt.
A curated list of awesome machine learning interpretability resources.
Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
A Unified Approach to Evaluate and Compare Explainable AI methods
Comparison of Neuronal Attention Models
This repository will contain the accepted solutions of problems on sites like codechef, hackerrank, hackerearth, codeforces etc
Here you can find my printed document for Competitive Programming
our Tunisian cuisine is a warm cuisine. It's the cuisine we love and share. It is in this context that we conceive our application. our application is called "Farrah Hmetek". We deliberately chose a typically Tunisian name that would mark anyone who hears it The application have three major parts : the first part: You can make a based-on-name search for a recipe from our gourmet database the 2nd part: You can share your recipe with Farrah Hmetek's community. You must specify the name, type and the ingredients. Also don't forget to add a photo of your masterpiece. this part was added because 22.6% of respondents would like to share their culinary achievements. we would like to gather as many passionate people as possible strengthen the culinary love we share. THE 3rd part: You can choose your ingredients (a based-on-ingredient search) and find the recipe that suits you according to what you have in your cupboards! 71.7% of the people we questioned waste their time looking for what to cook from what they have. Very relatable, isn't it? but worry no more. This part is for you!
Github Pages for academic personal websites,
Solve Linear systems using different methods. implementation and visualisation are made with Matlab 2017a
A 1D analogue of the MNIST dataset for measuring spatial biases and answering "science of deep learning" questions.
pre-commit script to fail on commits on master or main
Jupyter Interactive Notebook
Solutions to ACM ICPC - style problems
Fast patent classification from abstract
Original implementation of the Pairwise Difference Classifier. PDC is a meta learner that can reduce multiclass classification problem into a binary classification problem
Run pytypes in a Github Workflow
KDDCup 2019: Reinforcement Learning Challenge | LOLs team's solution ranked 7th
Do you think that we can't recycle everything? Challenge our Reuse-chatbot, it will find the brilliant idea that will make you believe again in the Zero Waste goal.
A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 Oral paper "Unbiased Scene Graph Generation from Biased Training"