Machine Learning in High Energy Physics 2016
☆77Oct 14, 2019Updated 6 years ago
Alternatives and similar repositories for mlhep2016
Users that are interested in mlhep2016 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Machine Learning for High Energy Physics.☆199Aug 1, 2026Updated 2 weeks ago
- Materials for the course of machine learning at Imperial College organized by Yandex SDA☆88Feb 9, 2017Updated 9 years ago
- Computing essentials for HEP analysts☆11Oct 22, 2019Updated 6 years ago
- MLHEP 2015 materials (http://hse.ru/mlhep2015)☆19Sep 5, 2015Updated 10 years ago
- LHCb data analysis lessons☆12Oct 2, 2017Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Conda recipes for building ROOT 5 and ROOT 6 binaries, root_numpy, rootpy, root_pandas, with both Python 2 and Python 3 support.☆29Feb 13, 2019Updated 7 years ago
- Listing of useful learning resources for machine learning applications in high energy physics (HEPML)☆362May 5, 2021Updated 5 years ago
- Main repository for image generation and CNN training https://arxiv.org/abs/1609.00607☆24Jun 14, 2020Updated 6 years ago
- A matplotlibrc that produces plots close to the official LHCb style.☆16Apr 1, 2014Updated 12 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆114Jun 8, 2024Updated 2 years ago
- Versatile, high-performance histogram toolkit for Numpy.☆109Nov 6, 2018Updated 7 years ago
- LHCb trigger based on machine learning research☆17Jul 28, 2015Updated 11 years ago
- Jupyterhub backed by carina!☆15Jan 22, 2016Updated 10 years ago
- A hands-on machine learning course for physics and astronomy PhD students at the University of Glasgow. Courses designed by John Armstron…☆14Feb 18, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Python implementation of Histogrammar, a package for creating histograms with Numpy, Pandas and Spark.☆36Sep 2, 2025Updated 11 months ago
- Metapackage of Scikit-HEP project data analysis packages for Particle Physics.☆175Updated this week
- McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.☆14Sep 3, 2022Updated 3 years ago
- Template for talks in remark+KaTeX.☆26Aug 27, 2020Updated 5 years ago
- MLHEP 2017 slides & seminars☆26Jan 16, 2018Updated 8 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Sep 17, 2018Updated 7 years ago
- Code for the paper "Secure Distributed Training at Scale" (ICML 2022)☆16Feb 4, 2025Updated last year
- SModelS☆16Updated this week
- Yandex SDA classes on deep learning. Version of year 2017☆119May 12, 2017Updated 9 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Materials for the course of machine learning at Imperial College organized by YSDA☆23Feb 13, 2016Updated 10 years ago
- a very fast parser for sparse matrix at libsvm format☆10Nov 13, 2017Updated 8 years ago
- 📈🔍 Exploring open data from Zürich☆14Jul 9, 2019Updated 7 years ago
- ☆10Apr 5, 2017Updated 9 years ago
- Binderize version of LIGO GW150914 tutorial☆11Oct 3, 2017Updated 8 years ago
- Implement an online/notebook maps application with customized features.☆20Sep 20, 2023Updated 2 years ago
- ROOT I/O in pure Python and NumPy.☆313Feb 19, 2021Updated 5 years ago
- Remember a 3x3 m² location anywhere in the world with just four words.☆22Jul 4, 2017Updated 9 years ago
- ☆18Jul 15, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- active learning + reusable workflows + likelihood free inference☆61Jun 10, 2017Updated 9 years ago
- Everware is about re-useable science, it allows people to jump right in to your research code.☆116Jun 23, 2018Updated 8 years ago
- [NeurIPS 2025] Official PyTorch implementation for the paper AutoJudge: Judge Decoding Without Manual Annotation☆21Dec 22, 2025Updated 7 months ago
- Efficient implementation of Generative Stochastic Networks☆12Nov 28, 2013Updated 12 years ago
- A research project on isomorphisms of finite fields☆16Jun 15, 2018Updated 8 years ago
- `Black` for Jupyter notebooks.☆19Apr 23, 2020Updated 6 years ago
- Machine Learning toolbox for Humans☆700Jul 31, 2024Updated 2 years ago