riccardosamperna Goto Github PK
Name: Riccardo Samperna
Type: User
Company: @DIAGNijmegen
Bio: PhD candidate at @DIAGNijmegen.
Location: Nijmegen
Blog: http://diagnijmegen.nl/index.php/Person?name=Riccardo_Samperna
Name: Riccardo Samperna
Type: User
Company: @DIAGNijmegen
Bio: PhD candidate at @DIAGNijmegen.
Location: Nijmegen
Blog: http://diagnijmegen.nl/index.php/Person?name=Riccardo_Samperna
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.
Simple Matlab/Octave based framework for building Brain Computer/Machine Interfaces (BCI/BMI)s
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
A flexible framework of neural networks for deep learning
Deep Learning Examples
Learning Blind Video Temporal Consistency (ECCV 2018)
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
General Transit Feed Specification implementation in Java.
Growing the code out of your notebooks - the right way.
Kaggle Cervical Cancer Screening competition
This is implementation of Coordinate Descent for Lasso.
PyTorch Lightning + Hydra. A very general, feature-rich template for rapid and scalable ML experimentation with best practices. β‘π₯β‘
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.
Latex template for the MIDL Conference
https://huyenchip.com/ml-interviews-book/
mlops template
Scripts/notebooks for The Nature Conservancy's fish classification competition
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.
A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
Material for ODL workshop Dec 2017
Evaluation of 3D detection and diagnosis performance βgeared towards prostate cancer detection in MRI.
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021
New experiment using findings and code from "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
Config files for my GitHub profile.
takes care of your sleep
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.