ansuini

IntrinsicDimDeep

Code for the intrinsic dimensionality estimate of data representations

DSSC_DL_2021

Repository for the DL Course AA 2020-2021 @ DSSC UniTS

DSSC_DL_2022

Repository for the DL Course AA 2021-2022 @ DSSC UniTS

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

MHPC_DL_2020

alphafold

Open source code for AlphaFold.

ansuini.github.io

Website

applied-computational-genomics

Applied Computational Genomics Course at UU: Spring 2020

bonito

A PyTorch Basecaller for Oxford Nanopore Reads

Deep-Proteomics

deeplearning-biology

A list of deep learning implementations in biology

deeplearning_notes

dottorato_AI_area

DPA

The DPA package is the scikit-learn compatible implementation of the Density Peaks Advanced clustering algorithm. The algorithm provides robust and visual information about the clusters, their statistical reliability and their hierarchical organization.

ecg_ptbxl_benchmarking

Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Machine-Learning-Collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

MHPC-DeepLearning-Lectures-2019

Advanced Deep Learning Lectures for the Master in HPC (SISSA/ICTP, Trieste)

MHPC-Natural-Language-Processing-Lectures-2020

This is the second part of the Deep Learning Course for the Master in High-Performance Computing (SISSA/ICTP).)

MHPC_DL_2022

Github Repo for the DL course

MiniFold

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

nanocompore_paper_analyses

Analyses performed for the nanocompore paper

protein-transformer

Predicting protein structure through sequence modeling

pytorch-Deep-Learning

Deep Learning (with PyTorch)

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

self-attention-cv

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

UDSMProt

Protein sequence classification with self-supervised pretraining