emaballarin/deeplearning-units

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emaballarin/deeplearning-units

emaballarin

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🧠🧑🏻‍💻 Repository for the Deep Learning course labs/practica (UniTS, Spring 2024)

probml-units

🎲🧑🏻‍🏫 Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2023)

Jupyter Notebook

ebtorch

🤓🔥 Collection of PyTorch additions, extensions, utilities, uses and abuses

foveatorch

👀🔥 Differentiable foveated vision for Deep Learning methods

wsl2-linux-kernel-clearsky

[AUTO-RELEASE] Sources of latest WSL2 Linux kernel from Microsoft, with graysky2's patchset

persaturam

Because using gists is good... until they become too many to manage!

CARSO

👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)

FLASIO

Ready-to-install, official FL Studio ASIO driver without FL Studio itself!

aistack

An automatically-bootstrapped AI research environment with (huge, maybe too much) batteries included

xmonolisa

MonoLisa NerdFonts Complete patching machinery (adaptation of https://github.com/adam7/delugia-code)

HinTorch

A critical, 🔥PyTorch-flavoured attempt at reproducing the results of 📃"Learning representations by back-propagating errors" (Nature, 1986) by Rumelhart, Hinton and Williams.

Jupyter Notebook

clearer-manjaro-kernel

Manjaro Linux kernel + some Clear Linux patches + parts of XanMod patchset + BitMap Queue Scheduler + some additional patches/tweaks | Now tracking Linux 5.5

carso-msc-thesis

LaTeX source and related material for my M.Sc. thesis in Deep Learning

RADLER

[Partial] RADLER: (adversarially) Robust Adversarial Distributional LEaRner

statmeth-hw01

Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 01 - Group "B"

clearer-manjaro-kernel-acpi-call

acpi-call extramodules for clearer-manjaro-kernel | Now tracking Linux 5.5

graalvm-ee-archlinux

GraalVM Enterprise Edition PKGBUILDs

thesis-bsc-physics

LaTeX & friends for my B.Sc. (Physics) thesis about a novel approach toward Deep Learning adversarial robustness

BSTDplate

High performance, super-opinionated, BST as a STD (Tem)plate, in modern C++.

Jupyter Notebook

clearer-manjaro-kernel-nvidia

Nvidia extramodules for clearer-manjaro-kernel | Now tracking Linux 5.5

pyromaniac

🔥 Collection of PyTorch uses and abuses

algodes

Algorithmic Design homework, code (in C) and other goodies. (UniTS, Spring 2020)

fhpc_assignments_2019-2020

Assignments and related code for the FHPC classes by UniTS/SISSA/ICTP (a.a. 2019/2020)

Jupyter Notebook

RDDL

Rapid Deployment Deep Learning

the-last-suppR

Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 05 - Group "E"

distnbody-hm

MPI/OpenMP-parallel gravitational collisional N-body simulator via modern C++ and hypermodularity

dotnet-archlinux-done-right

Collection of tweaked and updated PKGBUILDs to install a full .NET Core/Mono development environment

treeleaves-as-tree-leaves

Using (mostly) trees to classify (mostly) tree leaves. Just trees of a different kind. In R.

neural-toys

Old stuff related to (part of) coursework on Neural Networks and Machine Learning

emaballarin.github.io-comments

utteranc.es-powered comment system for ballarin.cc / emaballarin.github.io

DifFULl

Fully Differentiable Unsupervised Learning (coursework... and beyond!)

upgit_store

Storage repository for publicly-accessible images uploaded with https://github.com/pluveto/upgit

AoC-2021

Advent of Code 2021 (no guarantees, attempt of) as a data scientist should: i.e. never looping over data

xcartographcf

CartographCF NerdFonts Complete patching machinery (adaptation of https://github.com/adam7/delugia-code)

financial-wholenamycs

Whole-system multidimensional financial time series prediction and simulation from timestamped prices only (attempt of)

pip_install_if_missing

📦 Easily install Python packages if they are missing. Thought for Colab-like disposable environments.

MagiskBetterDNS

Use a hybrid Cloudflare (default) / Google (fallback) DNS system-wide on a Magisk-rooted Android device

cathode

Putting [A]NODEs ([Augmented] Neural ODEs) to work, for Time Series prediction and simulation

fastwonn

🏁🥈Fast, GPU-friendly, differentiable computation of Intrinsic Dimension via Maximum Likelihood, the TwoNN algorithm, and everything in between!

nmc-numpyro

🎲🔥 Unofficial implementation of Newtonian Monte Carlo MCMC sampling algorithm (after Arora et al., 2020) in JAX/NumPyro, with full NumPyro-API compatibility