Stefano (Stocastico)

Stocastico

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Company:MediaPro

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Stefano's repositories

xapi_analysis

Small library for data analysis of xAPI statements

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AdversarialRobustness

Review of the Manning liveProject about training an image classifier robust to adversarial examples

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algorithm-archive

A collaborative book on algorithms

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AR_SLR_Paper

Code for the Collaborative AR SLR paper

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ARchitecture_paper

Code for the AR architecture paper

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Evaluation_paper

All the code related to the paper about the evaluation of collaborative AR for education

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Recognize_Speech_Commands

Impelmentation of Manning "Recognizing Speech Commands with Deep Learning" liveProject

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surface_water_satellite_imgs

Implementation of the Manning liveProject

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computer_vision_various

Random experiments with CV models

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Cryptohack_solutions

Solutions to the challenges on Cryptohack.org

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davidpeicho.github.io

My personal blog made with Svelte & Sapper

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fastai_book

Vision models implemented with the fastai library

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Gists

Random scripts that do not fit in a repo

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grokking-pytorch

The Hitchiker's Guide to PyTorch

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Learn_three.js

Mini-projects with Three.js

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LearnAndroid

Several projects created to learn hot to build Android apps in Kotlin

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Manning_Ratan_DL_Projects

Mentoring for two deep learning projects at Manning

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native-opencv-android-template

A tutorial for setting up OpenCV 4.1.1 for Android in Android Studio with Native Development Kit (NDK) support.

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nbdev-tutorial

First steps using nbdev as a tool for literate programming

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nbdev_test

Tutorial on using nbdev to create a full project

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neural-style

Torch implementation of neural style algorithm

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Oak

Code developed for using OAK-D camera

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PAMA

An arbitrary style transfer algorithm

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PhD_Thesis

Source files for the PhD manuscript

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pytudes

Python programs to practice or demonstrate skills.

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r3f-car-game

3D ar game made with react-three-fiber, three.js and cannon

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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Unity-3D

Projects developed during Unity3D course - July 2019

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vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

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