yandexdataschool / mlhep2018Links
MLHEP-18 slides and stuff
☆26Updated 7 years ago
Alternatives and similar repositories for mlhep2018
Users that are interested in mlhep2018 are comparing it to the libraries listed below
Sorting:
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- MLHEP'19 slides and notebooks☆45Updated 5 years ago
- Machine Learning for High Energy Physics.☆192Updated 2 weeks ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 6 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆113Updated 5 months ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Upstream optimisation for downstream inference☆70Updated 2 weeks ago
- Collection of Notebook for Tutorials on TMVA☆22Updated 2 years ago
- Materials for the course of machine learning at Imperial College organized by Yandex SDA☆84Updated 8 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆110Updated last year
- MLHEP 2015 materials (http://hse.ru/mlhep2015)☆19Updated 10 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- ☆64Updated 7 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- Utilities for trackML challenge participants, provided by the organizers☆169Updated 6 years ago
- LUMIN - a deep learning and data science ecosystem for high-energy physics.☆47Updated 10 months ago
- Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.☆16Updated 7 years ago
- ☆90Updated 4 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆135Updated 5 years ago
- Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"☆81Updated 2 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- ☆232Updated 3 years ago
- ☆73Updated 6 years ago
- MLHEP 2017 slides & seminars☆26Updated 7 years ago
- ☆15Updated last year
- Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Phys…☆61Updated 8 years ago
- Materials for "Parallelizing Scientific Python with Dask"☆70Updated 7 years ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆125Updated 5 years ago