Andrea Panizza's repositories

Open-industrial-datasets

A collection of open datasets for industrial applications, divided by categories

docker-training-2019-public

This repository is no longer maintained and it may be deleted in the future. Please visit

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DHT

A naive Python implementation of the Discrete Hartley Transform

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docker-for-deep-learning

A brief introduction to Docker as a tool to run and deploy Deep Learning models easily

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AI_for_Oil_and_Gas

A short presentation on AI for Oil & Gas in 2019

dod-Mask-R-CNN

A Dockerization of Matterport/Mask_RCNN for object detection and segmentation

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Hands-On-Industrial-Internet-of-Things

Hands-On Industrial Internet of Things, published by Packt

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A-Gentle-Intro-Reading-Group

Reading group for http://arxiv.org/abs/2107.07511 "A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantication"

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learning_about_gnns

Some examples on how to use PyTorch Geometric to solve a few simple learning tasks

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andreapanizza.it

Personal website and blog

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Awesome-resources

Awesome resources for Machine/Deep Learning at industry scale

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curve-gcn

Official PyTorch code for Curve-GCN (CVPR 2019)

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data-validation

Library for exploring and validating machine learning data

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deep-learning-guide

An evolving guide to learning Deep Learning effectively.

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DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

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DeepSurv

DeepSurv is a deep learning approach to survival analysis.

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depend-on-docker

Depend on Docker {DoD} is an open-source project that helps you containerize your software and make it easy to build, test, ship, and run!

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fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images

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keras-retinanet

Keras implementation of RetinaNet object detection.

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ml_simple_template

A bare bones template for Machine Learning/Data Science projects

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NLP_tools

A list of useful tools for NLP

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notes

Course notes

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tfruns

Track, Visualize, and Manage TensorFlow Training Runs

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Time-series-in-Python

A list of Python libraries to analyze time series

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torchdyn

A PyTorch based library for all things neural differential equations and implicit neural models.

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tutorials2021

Mediterranean Machine Learning school tutorials

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