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  • 👋 Hi, I’m @Oumar199
  • 👀 I’m interested in science
  • 🌱 I’m currently learning artificial intelligence and data engineering
  • 💞️ I’m looking to collaborate on interesting machine learning projects
  • 📫 How to reach me [email protected]

Oumar Kane's Projects

brainstormteam_exercice2 icon brainstormteam_exercice2

Hi! This project allows us to apprehend the impact of the Covid virus on the dates between December 2019 and March 2020. I think you will see how the virus was beginning to propagate on the world.

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

codecarbon icon codecarbon

Track emissions from Compute and recommend ways to reduce their impact on the environment.

complex-proj-multipli-table icon complex-proj-multipli-table

Ce projet consiste à créer une liste de 30 nombres entiers aléatoires pris entre 0 et 50, inverser cette liste, créer un tableau numpy unidimensionnel constitué des élements de la liste multipliés par 2, stocker les tables de multplication de chaque element du tableau dans un nouveau tableau (tableau de listes) et afficher les tables de multiplications dans un nouveau bloc. Le travail est réparti comme suite : Oumar Kane - création de la liste et du tableau unidimensionnel, inversion de la liste; Ibrahima Camara - Programme principal, création du tableau de listes et affichage du résultat final.

conference_2020 icon conference_2020

This repository holds the content for the NHS-R Community conference, November 2020. Plenary session and lightning talk material will be shared in the relevant folders, and workshop details are below

deep-poc icon deep-poc

Deep-PoC is a deepFake detection tool designed to detect deepfakes from videos or images using artificial intelligence.

disc-lawllm icon disc-lawllm

DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services

docs icon docs

TensorFlow documentation

lime icon lime

Lime: Explaining the predictions of any machine learning classifier

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