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advancedstatsexercises

Exercises for the course in Advanced Statistics

amqscripts

Scripts for AMQ

auction-demo

biopytorch

PyTorch implementation of Hebbian learning rule by Krotov & Hopfield

container.training

Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.

data_notes

Notes from Physics of Data

dlnn_assignments

Assignments for the course "Neural Networks and Deep Learning" by Prof. Testolin @ Physics of Data, A.A. 2020/21

einlar.github.io

Il covo del pesce rosso

example_cml

fisicamoderna

Appunti del corso di Fisica Moderna, UniPD, Anno di immatricolazione 2016-7, Canale 2

fisicateorica

Appunti del corso di Fisica Teorica (unipd)

free_recall

Web app for collecting free recall data

free_recall_old

Web-app for free recall experiments

goldshish

A place to share science college notes.

goldshish2

Goldshish, but v2

infoquantistica

Appunti del corso di Informazione Quantistica (unipd)

kcc

KCC (a.k.a. Kindle Comic Converter) is a comic and manga converter for ebook readers.

latex_snippets

Easy snippets to write faster LaTeX (in Visual Studio Code)

lcp_projects_y2

Collection of projects for Laboratory of Computational Physics, AY 2019-20

mapd-b

Repository for Management of Physical Datasets mod B.

matplotlib2latex

An high-level python library to have your plots in pgf, the perfect format for an awesome LaTeX report/publication

memory_reco

Simulations for "Fundamental Law of Memory Recall", Naim, Katkov, Romani and Tsodyks (2019).

muonsource

Monte Carlo simulation for a muon beam

projectmapd-a

qls-project

A bio-inspired learning rule for deep architectures. Project for QLS exam, 2020/21 @ Physics of Data (University of Padova)

redwood-tutorial

The end state after completing the RedwoodJS introduction tutorial

spid-sp-test

SAML2 SPID/CIE Service Provider validation tool

stable-diffusion-webui

Stable Diffusion web UI

unsupervised_bio_classifier

PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier

urql

The highly customizable and versatile GraphQL client with which you add on features like normalized caching as you grow.