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ML

Fundamental theory and practice in Machine Learning (ML) and Data Science. 🧮

Usefulls statistical fonctions and machine learning helpers found during my courses or lectures or exemples

Open Source News Application

A library for Meta-Learning and Few-Shot Learning with PyTorch.

Tensorflow repo stores some machine learning algorithms developed in Go

Originally forked from Pannous's tensorflow-speech-recognition project (https://github.com/pannous/tensorflow-speech-recognition) (2017-05-28)

Example DNN classifier used to demonstrate the use of TensorFlow in a Scott Logic blog post.

1st semester at VK education (Technopark)

Modello Neurale per l'indoor localization di un SuperMarket.

Style Transfer Algorithm created using TensorFlow and the VGG16 model.

Sample library to detect some urban structures, its full intend to be fully determined

A comprehensive Python toolkit for analyzing protein structures and small molecules using real datasets from RCSB PDB and FDA-approved drugs.

Feature prediction from satelite images

Unix utilities written in Standard ML.

SmartParams is a lightweight Python framework that simplifies configuration of research projects.

A repository for those who want to start learning ML the simple way.