Alessandro Guida's repositories
autokeras
AutoML library for deep learning
deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
deepmedic
Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation
esrgan-tf2
ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
fully_convolutional_network
Building, training and deploying a fully convolutional neural network in TensorFlow
GSOC
Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
ml-workspace
đź› All-in-one web-based IDE specialized for machine learning and data science.
PerceptualSimilarity
LPIPS metric. pip install lpips
picai_labels
Annotations for the PI-CAI Challenge: Public Training and Development Dataset
PrecisionTrialDrawer
A set of tools to help bioinformaticians, clinicians and biostatisticians to design, analyze and finalize a custom gene panel for clinical trial in cancer genomics.
pyradiomics
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
RSNA2019_1st_place_solution
RSNA2019 Intracranial Hemorrhage Detection
samm
A 3D Slicer integration to Meta's SAM.
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
segment-anything-finetuner
Simple Finetuning Starter Code for Segment Anything
stylegan2-ada
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
stylegan2-ada-pytorch-multiclass-labels
stylegan2-ada-pytorch-multiclass-labels
TecoGAN-Docker
This is a fork of the TecoGAN project (https://github.com/thunil/TecoGAN) that adds support for docker.
tutorials
MONAI Tutorials
vcfwiper
A Python tool to fix VCF sequencing files