Riccardo Samperna's repositories
AI-Deep-Learning-Lab-2021
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
BatchViewer
A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.
buffer_bci
Simple Matlab/Octave based framework for building Brain Computer/Machine Interfaces (BCI/BMI)s
byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
chainer
A flexible framework of neural networks for deep learning
DeepLearningExamples
Deep Learning Examples
fast_blind_video_consistency
Learning Blind Video Temporal Consistency (ECCV 2018)
flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
Growing the code out of your notebooks - the right way.
ISMI_project
Kaggle Cervical Cancer Screening competition
Lasso
This is implementation of Coordinate Descent for Lasso.
lightning-hydra-template
PyTorch Lightning + Hydra. A very general, feature-rich template for rapid and scalable ML experimentation with best practices. ⚡🔥⚡
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
MIDLLatexTemplate
Latex template for the MIDL Conference
ml-interviews-book
https://huyenchip.com/ml-interviews-book/
mlops-template
mlops template
nc-fish-classification
Scripts/notebooks for The Nature Conservancy's fish classification competition
nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
nvvl
A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
odlworkshop
Material for ODL workshop Dec 2017
picai_eval
Evaluation of 3D detection and diagnosis performance —geared towards prostate cancer detection in MRI.
pixel-level-contrastive-learning
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
prednet
New experiment using findings and code from "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
riccardosamperna
Config files for my GitHub profile.
voxelmorph
Unsupervised Learning for Image Registration
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite