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deeplearning-units
π§ π§π»βπ» Repository for the Deep Learning course labs/practica (UniTS, Spring 2024)probml-units
π²π§π»βπ« Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2023)ebtorch
π€π₯ Collection of PyTorch additions, extensions, utilities, uses and abusesfoveatorch
ππ₯ Differentiable foveated vision for Deep Learning methodswsl2-linux-kernel-clearsky
[AUTO-RELEASE] Sources of latest WSL2 Linux kernel from Microsoft, with graysky2's patchsetpersaturam
Because using gists is good... until they become too many to manage!CARSO
ππ‘οΈ Code for the paper βCarefully Blending Adversarial Training and Purification Improves Adversarial Robustnessβ 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 includedxmonolisa
MonoLisa NerdFonts Complete patching machinery (adaptation of https://github.com/adam7/delugia-code)HinTorch
A critical, π₯PyTorch-flavoured attempt at reproducing the results of π"Learning representations by back-propagating errors" (Nature, 1986) by Rumelhart, Hinton and Williams.clearer-manjaro-kernel
Manjaro Linux kernel + some Clear Linux patches + parts of XanMod patchset + BitMap Queue Scheduler + some additional patches/tweaks | Now tracking Linux 5.5carso-msc-thesis
LaTeX source and related material for my M.Sc. thesis in Deep LearningRADLER
[Partial] RADLER: (adversarially) Robust Adversarial Distributional LEaRnerstatmeth-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 5.5graalvm-ee-archlinux
GraalVM Enterprise Edition PKGBUILDsthesis-bsc-physics
LaTeX & friends for my B.Sc. (Physics) thesis about a novel approach toward Deep Learning adversarial robustnessBSTDplate
High performance, super-opinionated, BST as a STD (Tem)plate, in modern C++.clearer-manjaro-kernel-nvidia
Nvidia extramodules for clearer-manjaro-kernel | Now tracking Linux 5.5pyromaniac
π₯ Collection of PyTorch uses and abusesalgodes
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)RDDL
Rapid Deployment Deep Learningdistnbody-hm
MPI/OpenMP-parallel gravitational collisional N-body simulator via modern C++ and hypermodularitydotnet-archlinux-done-right
Collection of tweaked and updated PKGBUILDs to install a full .NET Core/Mono development environmenttreeleaves-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 Learningemaballarin.github.io-comments
utteranc.es-powered comment system for ballarin.cc / emaballarin.github.ioDifFULl
Fully Differentiable Unsupervised Learning (coursework... and beyond!)upgit_store
Storage repository for publicly-accessible images uploaded with https://github.com/pluveto/upgitAoC-2021
Advent of Code 2021 (no guarantees, attempt of) as a data scientist should: i.e. never looping over dataxcartographcf
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
π¦ 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 devicecathode
Putting [A]NODEs ([Augmented] Neural ODEs) to work, for Time Series prediction and simulationfastwonn
ππ₯Fast, GPU-friendly, differentiable computation of Intrinsic Dimension via Maximum Likelihood, the TwoNN algorithm, and everything in between!nmc-numpyro
π²π₯ Unofficial implementation of Newtonian Monte Carlo MCMC sampling algorithm (after Arora et al., 2020) in JAX/NumPyro, with full NumPyro-API compatibilityLove Open Source and this site? Check out how you can help us