Josh Bendvaid show the use of tensorflow for maximum likelihood fits for high-precision SM measurements at CMS as part of the PyHEP 2020 workshop Talk website: https://indico.cern.ch/event/882824/c...
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PyHEP 2024 workshop close-out - Eduardo Rodrigues
Checkpointing for long running Machine Learning Tasks - Jonas Eppelt
Constructing model-agnostic likelihoods, a method for reinterpretation of particle physics results
Metaheuristic optimization for artificial neural networks and deep learning architectures - Pagano
A new SymPy backend for vector: uniting experimental and theoretical physicists - Saransh Chopra
Easy Columnar File Conversion with 'hepconvert' - Zoë Bilodeau
AwkwardArrays in Julia for High-Energy Physics Data Analysis - Ianna Osborne
RootInteractive tool for multidimensional statistical analysis, ML and analytical model validation
Quantum Machine Learning in High Energy Physics with Qibo - Matteo Robbiati
Recent developments and user contributions in zfit - Iason Krommydas
General model fitting with zfit and hepstats - Jonas Eschle
Distributed Columnar HEP analysis using coffea + dask - Iason Krommydas
Reading RNTuple data with Uproot - Andres Rios-Tascon
Multi-scale cross-attention transformer encoder for event classification - Ahmed Hammad
The New PDG Python API - Juerg Beringer, Matt Kramer
b2luigi — bringing batch 2 luigi! - Alexander Heidelbach
The new Python client library of ServiceX, the novel data delivery system - Kyungeon Choi
The two flavors of Python 3.13 - Henry Schreiner
VLQcalc: a Python Module for Calculating Vector-like Quark Couplings - Ali Can Canbay
Plothist: visualize and compare data in a scalable way and a beautiful style - Tristan Fillinger
Welcome and workshop overview - Eduardo Rodrigues
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