Leonardo Castorina's starred repositories
spacedrive
Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.
torchscale
Foundation Architecture for (M)LLMs
peptide-distance-analysis
This repository contains the codebase to reproduce the results presented in the paper "Assessing the Generalization Capabilities of TCR Binding Predictors via Peptide Distance Analysis" by Castorina et al.
obsidian-pandoc-templates
A repository for pandoc templates. Geared for Obsidian.
obsidian-enhancing-export
This is an enhancing export plugin base on Pandoc for Obsidian (https://obsidian.md/ ). It's allow you to export to formats like Markdown、Markdown (Hugo https://gohugo.io/ )、Html、docx、Latex etc.
obsidian-omnisearch
A search engine that "just works" for Obsidian. Supports OCR and PDF indexing.
ob-table-enhancer
Manipulate markdown tables without touching the source code in Obsidian.
TargeneCore.jl
Core Functionalities for TarGene
UKBMain.jl
To work with a UKB main dataset
targene-pipeline
Nextflow pipeline for Targeted-Learning of genetic effects
obsidian-canvas-moc
Converts MOC note files to an obsidian canvas
obsidian-chorded-hotkeys
Type multiple letters at the same time to trigger text insertion, template insertion, or command execution.
obsidian-grammarly-plugin
Add Grammarly spellchecking to Obsidian.md.
ReLSO-Guided-Generative-Protein-Design-using-Regularized-Transformers
a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)
timed-design
Protein Sequence Design with Deep Learning and Tooling like Monte Carlo Sampling and Analysis
clinical-super-mri
Code for "Deep Attention Super-Resolution of Brain Magnetic Resonance Images Acquired Under Clinical Protocols".
LovelyPlots
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
deepcourse
Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki
obsidian-link-converter
Obsidian Plugin to scan all your links in your vault and convert them to your desired format.