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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

Pinned

  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

Repositories

Showing 10 of 16 repositories
  • Deep-Learning-for-Language Public

    Machine translation model from German to English using transformers, fine-tuning using the HuggingFace transformer library, Sentence Transformer, Faiss and Beir libraries to operate a semantic search on the DBPedia entity dataset.

    Jupyter Notebook 2 MIT 1 0 0 Updated Aug 31, 2023
  • .github Public

    Organization profile configuration repository.

    1 0 0 0 Updated Jun 6, 2023
  • DeepNLP Public

    Explore the cutting edge of NLP with this deep learning repository, featuring models for text classification, sentiment analysis, and more.

    Jupyter Notebook 0 MIT 0 0 0 Updated Mar 26, 2023
  • CoughClassifier Public

    A sound classification model capable of distinguishing a COVID-related cough from a benign cough using recordings of a patient's cough. Achieved 70% accuracy in predicting if a cough is indicative of a COVID-19 case.

    Jupyter Notebook 0 MIT 0 0 0 Updated Mar 26, 2023
  • 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 MIT 0 0 0 Updated Feb 13, 2023
  • 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 optimization problems, such as the Tetravex puzzle

    C++ 1 MIT 0 0 0 Updated Jan 24, 2023
  • RELE Public

    Dedicated to exploring and implementing various algorithms in the field of reinforcement learning. Techniques such as Q-learning, SARSA, and policy gradient methods. Implementation of these methods on various environments such as OpenAI gym.

    HTML 1 MIT 0 0 0 Updated Jan 24, 2023
  • SVM-101 Public

    Understanding of Support Vector Machines (SVMs) and their implementations. Covers linear and non-linear SVM, also explains how to use the "kernel trick" to handle non-linearly separable data.

    Jupyter Notebook 0 MIT 0 0 0 Updated Jan 12, 2023
  • SYMUA Public

    Pedestrian flow simulation represented as a multi-agent system and made with python and the library CrowdDynamics.

    Python 0 MIT 0 0 0 Updated Dec 9, 2022
  • 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 MIT 0 0 0 Updated Dec 5, 2022
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