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Name: Jonathan Bossio
Type: User
Bio: Data Scientist | Physicist | Software Developer
Location: Geneva
Blog: www.jonathanbossio.com
Name: Jonathan Bossio
Type: User
Bio: Data Scientist | Physicist | Software Developer
Location: Geneva
Blog: www.jonathanbossio.com
Create docker images for Kubeflow
Instructions and scripts to find samples of interest to be deleted and to request an extension for them
Step by step instructions for deriving extrapolation weights and produce validation plots.
Produce JSON files from keras models to be able to do inference with lwtnn
Convert ROOT files to CSV files
Predict extrapolation weights through regression using Keras
Evaluate SPANet performance for the ATLAS SUSY RPV multijet search
A multi-purpose jet-parton matcher for the ATLAS SUSY RPV multijet search
Script only meant to merge ROOT files containing a TTree produced with FactoryTools from dijet samples
Convert TFiles into H5 files for the ATLAS SUSY RPV multijet search
ML-based multijet background estimation through reweithting
Create Docker images and yaml needed to perform a hyperparameter optimization for SPANet with Kubeflow Katib for the ATLAS SUSY RPV multijet search
Create Docker images and ymal files to run Kubeflow pipelines to perform inference on background samples for the ATLAS SUSY RPV multijet search
Example configs for running xAH together CP algorithms
Helpful scripts for board games
Image Classifier using a Convolutional Neural Network implemented with PyTorch Lightning
Fully-connected feed-forward neural network using TensorFlow 2.x without relying (much) on Keras; trained on MNIST data
Generate data for sales forecasting
Missing "build on Merge Request" feature of Gitlab CI
Multiclass classifier using deep neural networks implemented using the Keras API from TensorFlow
Multiclass classifier using deep neural networks implemented using PyTorch Lightning
Learn Python for data analysis from zero with this tutorial based on Jupyter notebooks.
to accompany statisticalmethods.web.cern.ch/tutorials/
Simple example of how to train a network to learn to weight data to follow a given probability distribution.
Symmetry Preserving Attention Networks for Event Reconstruction
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.