EttoreRocchi
PhD student @ Department of Medical and Surgical Sciences, University of Bologna
Alma Mater Studiorum, University of BolognaBologna
EttoreRocchi's Stars
deepseek-ai/DeepSeek-V3
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
rdkit/rdkit
The official sources for the RDKit library
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
jundongl/scikit-feature
open-source feature selection repository in python
bbuchfink/diamond
Accelerated BLAST compatible local sequence aligner.
rpy2/rpy2
Interface to use R from Python
rrwick/Bandage
a Bioinformatics Application for Navigating De novo Assembly Graphs Easily
tseemann/abricate
:mag_right: :pill: Mass screening of contigs for antimicrobial and virulence genes
biobakery/MetaPhlAn
MetaPhlAn is a computational tool for profiling the composition of microbial communities from metagenomic shotgun sequencing data
chklovski/CheckM2
Assessing the quality of metagenome-derived genome bins using machine learning
chl8856/DeepHit
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
biobakery/humann
HUMAnN is the next generation of HUMAnN 1.0 (HMP Unified Metabolic Analysis Network).
sanger-pathogens/ariba
Antimicrobial Resistance Identification By Assembly
biobakery/phylophlan
Precise phylogenetic analysis of microbial isolates and genomes from metagenomes
biobakery/kneaddata
Quality control tool on metagenomic and metatranscriptomic sequencing data, especially data from microbiome experiments.
vanderschaarlab/temporai
TemporAI: ML-centric Toolkit for Medical Time Series
biobakery/biobakery_workflows
bioBakery workflows is a collection of workflows and tasks for executing common microbial community analyses using standardized, validated tools and parameters.
erwanlemerrer/awesome-audit-algorithms
A curated list of algorithms and papers for auditing black-box algorithms.
kamilest/conformal-rnn
Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
autogluon/fev
Forecast evaluation library
nlmixr2/nlmixr2
nlmixr2
pietrobarbiero/logic_explained_networks
Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
BorgwardtLab/NeuralWalker
Official Pytorch implementation of NeuralWalker
JonathanCrabbe/Simplex
This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.
BorgwardtLab/reComBat
reComBat package to correct batch effects
aryan-jadon/Synthetic-Data-Generation-in-Healthcare-Using-Generative-AI
This repository contains the summary of the research papers and book chapters referenced in our research paper - Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy
billmannlab/pyBaCoN
Python version of BaCoN
ihmeuw-msca/mrtool
Featured Nonlinear Mixed effects Models
Nico-Curti/Software-Computing
Software and Computing for Applied Physics - University of Bologna