emaballarin

PhD student in (neuro-inspired) Deep Learning. Also: robust / trustworthy / Bayesian DL, kernel methods, computational neuroscience. Overenthusiastic tinkerer.

Dept. of Maths, UniTS | @LACoNIC-UniTS ⊆ @ailab-units | @sissa-data-science | @AI-Student-SocietyTrieste, Italy

Pinned Repositories

CARSO
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
Language:Python5 3 01
deeplearning-units
🧠🧑🏻‍💻 Repository for the Deep Learning course labs/practica (UniTS, Spring 2024)
Language:Jupyter Notebook37 4 06
ebtorch
🤓🔥 Collection of PyTorch additions, extensions, utilities, uses and abuses
Language:Python9 4 01
fastwonn
🏁🥈Fast, GPU-friendly, differentiable computation of Intrinsic Dimension via Maximum Likelihood, the TwoNN algorithm, and everything in between!
Language:Python1 1 00
foveatorch
👀🔥 Differentiable foveated vision for Deep Learning methods
Language:Python5 3 00
HinTorch
A critical, 🔥PyTorch-flavoured attempt at reproducing the results of 📃"Learning representations by back-propagating errors" (Nature, 1986) by Rumelhart, Hinton and Williams.
Language:Jupyter Notebook4 3 12
nmc-numpyro
🎲🔥 Unofficial implementation of Newtonian Monte Carlo MCMC sampling algorithm (after Arora et al., 2020) in JAX/NumPyro, with full NumPyro-API compatibility
Language:Python1 1 30
persaturam
Because using gists is good... until they become too many to manage!
Language:Shell4 1 00
probml-units
🎲🧑🏻‍🏫 Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2023)
Language:Jupyter Notebook10 3 07
wsl2-linux-kernel-clearsky
[AUTO-RELEASE] Sources of latest WSL2 Linux kernel from Microsoft, with graysky2's patchset
Language:Roff5 4 11

emaballarin's Repositories

emaballarin/aistack
An automatically-bootstrapped AI research environment with (huge, maybe too much) batteries included
Language:Python3 2 10
emaballarin/advanced_programming_2019-20
Clone of the original, with: some additions; exercises; eventual partial reformatting; updated Travis config
Language:Jupyter Notebook2 2 00
emaballarin/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
Language:Shell2 2 0
emaballarin/RADLER
[Partial] RADLER: (adversarially) Robust Adversarial Distributional LEaRner
Language:Python2 2 0
emaballarin/statmeth-hw01
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 01 - Group "B"
Language:R2 2 0
emaballarin/cathode
Putting [A]NODEs ([Augmented] Neural ODEs) to work, for Time Series prediction and simulation
Language:Python1 3 00
emaballarin/clearer-manjaro-kernel-acpi-call
acpi-call extramodules for clearer-manjaro-kernel | Now tracking Linux 5.5
Language:Shell1 3 0
emaballarin/clearer-manjaro-kernel-nvidia
Nvidia extramodules for clearer-manjaro-kernel | Now tracking Linux 5.5
Language:Shell1 2 0
emaballarin/deep-learning-with-pytorch
Deep learning lectures I am holding for the MSc on Data Science and Scientific Computing
Language:Jupyter Notebook1 1 0
emaballarin/distnbody-hm
MPI/OpenMP-parallel gravitational collisional N-body simulator via modern C++ and hypermodularity
Language:C++1 2 0
emaballarin/FHPC_2019-2020
The Repo for the course Foundation in HPC at DSSC
Language:C1 1 0
emaballarin/fhpc_assignments_2019-2020
Assignments and related code for the FHPC classes by UniTS/SISSA/ICTP (a.a. 2019/2020)
Language:Jupyter Notebook1 3 0
emaballarin/graalvm-ee-archlinux
GraalVM Enterprise Edition PKGBUILDs
Language:Shell1 1 0
emaballarin/P1.4_seed
Applied Mathematics - Numerical Analysis: An introduction to Scientific Computing
Language:Jupyter Notebook1 2 0
emaballarin/pyromaniac
:fire: Collection of PyTorch uses and abuses
Language:Python1 2 1
emaballarin/the-last-suppR
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 05 - Group "E"
Language:HTML1 3 0
emaballarin/thesis-bsc-physics
LaTeX & friends for my B.Sc. (Physics) thesis about a novel approach toward Deep Learning adversarial robustness
Language:TeX1 2 0
emaballarin/treeleaves-as-tree-leaves
Using (mostly) trees to classify (mostly) tree leaves. Just trees of a different kind. In R.
Language:R1 3 01
emaballarin/rexthor
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 04 - Group "B"
Language:R0 2 00
emaballarin/ASTRAGAL
A STRassen-like Algorithm for General mAtrix multiplication with peeLing
Language:C2 0
emaballarin/augmented-neural-odes
[CLONE, installable] Pytorch implementation of Augmented Neural ODEs :sunflower:
Language:Jupyter Notebook1 0
emaballarin/bliss-backlimit
Performance-conscious patchwork for Bliss, as a PKGBUILD (crf.: https://scip.zib.de/index.php#download)
Language:Shell2 0
emaballarin/DijkStraike
Strikingly minimal Dijkstra SPA with priority queue
Language:C2 0
emaballarin/dwave-leap-ifany
Everything I will do with DWave Leap (if any) will be published here. Fair enough.
1 0
emaballarin/giacomo-coltello
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 03 - Group "D"
Language:HTML2 0
emaballarin/hcgd
[COPY] single-file, importable copy of the original. Now living at: https://github.com/emaballarin/ebtorch/blob/main/ebtorch/optim/hcgd.py
Language:Python1 0
emaballarin/nengolib
Nengo library of additional extensions
emaballarin/northindia-covid-smds
Language:R2 0
emaballarin/nvidia-docker-emaballarin-et-al
My non-AUR-compliant take on the latest Nvidia Docker PKGBUILDs
Language:Shell1 0
emaballarin/statmeth-hw02
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 02 - Group "I"
Language:R2 0