Salvatore Raieli (SalvatoreRa)

SalvatoreRa

Geek Repo

Company:Oncodesign

Location:Dijon

Home Page:https://www.linkedin.com/in/salvatore-raieli/

Github PK Tool:Github PK Tool


Organizations
AMLResearchProject
COVID-19-AI-Research-Project
leukaemiamedtech

Salvatore Raieli's repositories

tutorial

Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)

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ML-news-of-the-week

A collection of the the best ML news every week (research, news, resources)

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CNNscan

A CT-scan of your CNN

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ALL-IDB-Classifiers

Classifiers created with various languages and frameworks, using Fabio Scotti's ALL-IDB (Acute Lymphoblastic Leukemia Image Database for Image Processing) dataset.

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Yoga_position

Yoga position: a web app powered by deep learning model that identify yoga position from a photo

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free-programming-books

:books: Freely available programming books

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GAT2VEC

representation learning on attributed graphs

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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StreamStyle

Streamlite + neural style transfer

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AI-Classification

Open source Artificial Intelligence for COVID-19 detection/early detection. Includes Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN)

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ALL-FastAI-2019

A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.

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ALL-FastAI-2020

A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.

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AML-ALL-Classifiers

The Peter Moss Acute Myeloid/Lymphoblastic Leukemia classifiers are a collection of projects that use computer vision to classify Acute Myeloid/Lymphoblastic Leukemia in unseen images. The projects include classifiers made with Tensorflow, Caffe, Intel Movidius (NCS & NCS2), OpenVino and pure Python classifiers.

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awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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explanaibleAI

Collection of explainable methods and models

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guiltytargets

Target prioritization using network representation learning

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lessons

Lesson at university and other course

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Modern-AI-Agents

Modern AI Agents

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practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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SAM

Sparse Attention Model

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Serial-NLP

A repository about NLP and tv series

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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