Name: Emanuele Ballarin
Type: User
Company: Dept. of Maths, UniTS | @LACoNIC-UniTS โ @ailab-units | @sissa-data-science | @AI-Student-Society
Bio: PhD student in (neuro-inspired) Deep Learning. Also: robust / trustworthy / Bayesian DL, kernel methods, computational neuroscience. Overenthusiastic tinkerer.
Twitter: emaballarin
Location: Trieste, Italy
Blog: https://ballarin.cc/
Emanuele Ballarin's Projects
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 01 - Group "B"
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 02 - Group "I"
๐งช [Case Sensitive Config Parsing] Execute Python code on the fly and display results in Tableau visualizations:
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 05 - Group "E"
LaTeX & friends for my B.Sc. (Physics) thesis about a novel approach toward Deep Learning adversarial robustness
[TWEAK]
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Using (mostly) trees to classify (mostly) tree leaves. Just trees of a different kind. In R.
Storage repository for publicly-accessible images uploaded with https://github.com/pluveto/upgit
[PyTorch Installable package] Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava
A simple Python package for deep learning using forward automatic differentiation based on JAX.
Easily tag locations in deep space (directories) and warp (like the space drive) to them.
[mosaicml] A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
[AUTO-RELEASE] Sources of latest WSL2 Linux kernel from Microsoft, with graysky2's patchset
CartographCF NerdFonts Complete patching machinery (adaptation of https://github.com/adam7/delugia-code)
MonoLisa NerdFonts Complete patching machinery (adaptation of https://github.com/adam7/delugia-code)
A zsh theme inspired by Zeit, robbyrussell and Sorin