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About this organization

Welcome to the SCIA Premium GitHub Organization, where machine learning and data science enthusiasts come together to create cutting-edge projects that push the limits of what's possible. Our team of talented students from EPITA, one of France's top engineering schools, is dedicated to exploring the latest advancements in the field.

From GoRaft, a repository that implements the RAFT consensus algorithm, to SYMUA, a Pedestrian flow simulation represented as a multi-agent system and made with python and the library CrowdDynamics, our projects showcase the power of deep learning. We even have a solver for the challenging Tetravex puzzle using the Metropolis-Hastings simulated annealing algorithm in C++!

Our team is also passionate about exploring the theoretical fundamentals of machine learning, with repositories such as Gradient_Descent and SVM-101. And when it comes to applying these techniques to real-world datasets, our team is second to none, with projects such as RecSys_2022 and DNN.

Find more in the repositories

Some contributors

Bictole
Alex-Leme
Sefray
Taotom
Unikarah
AdrienBarens

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  1. GoRaft GoRaft Public

    Go implementation of the RAFT consensus algorithm. Faults injector with a REPL and a CLSF (Command List and File Storage) to test several scenarios.

    Go 2

  2. Sentiment_analysis Sentiment_analysis Public

    Sentiment Analysis with different NLP algorithm on the IMDB dataset. Naive Bayes Classifier, FastText and RNN/LSTM are used in this repository !

    Jupyter Notebook 1

  3. DNN DNN Public

    This repository contains the project of DNN class at EPITA. The goal of the project was to benchmark multiple type of Visual Object Trackers on multiple dataset using different metrics.

    Jupyter Notebook 1

  4. ObjectDetectionCuda ObjectDetectionCuda Public

    Object Detection implemented in CUDA. Data-parallelism concepts and benchmarks on a python, two C++ on CPU and a C++ GPU version.

    C++ 2

  5. RecSys_2022 RecSys_2022 Public

    Recommendation system implementation with application to the RecSys 2022 Dressipi challenge. Analysis, different process and alteration of the data, machine learning technique to generate submissions.

    Jupyter Notebook 1

  6. Tetravex Tetravex Public

    Solver of Tetravex puzzle using the Metropolis-Hastings simulated annealing algorithm in C++. demonstrate the effectiveness of the Metropolis-Hastings algorithm in solving combinatorial optimizatio…

    C++ 1

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