Discover emaballarin/xmonolisa Open Source project

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

probml-units

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

ebtorch

👀🔥 Differentiable foveated vision for Deep Learning methods

foveatorch

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

wsl2-linux-kernel-clearsky

Roff

persaturam

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

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

CARSO

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

FLASIO

PowerShell

aistack

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

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

HinTorch

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

clearer-manjaro-kernel

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

carso-msc-thesis

TeX

RADLER

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

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

statmeth-hw01

clearer-manjaro-kernel-acpi-call

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

GraalVM Enterprise Edition PKGBUILDs

graalvm-ee-archlinux

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

thesis-bsc-physics

TeX

BSTDplate

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

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

clearer-manjaro-kernel-nvidia

🔥 Collection of PyTorch uses and abuses

pyromaniac

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

algodes

fhpc_assignments_2019-2020

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

Rapid Deployment Deep Learning

RDDL

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

the-last-suppR

HTML

distnbody-hm

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

C++

dotnet-archlinux-done-right

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

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

treeleaves-as-tree-leaves

neural-toys

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

emaballarin.github.io-comments

DifFULl

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

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

upgit_store

AoC-2021

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

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

xcartographcf

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

financial-wholenamycs

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

pip_install_if_missing

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

MagiskBetterDNS

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

cathode

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

fastwonn

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

nmc-numpyro