Alternatives and similar repositories for getting_high

Users that are interested in getting_high are comparing it to the libraries listed below

• HEPTrkX / heptrkx-gnn-tracking
  ☆30Updated 6 years ago
• hqucms / ParticleNet
  Implementation of the jet classification network in ParticleNet: Jet Tagging via Particle Clouds
  ☆49Updated 5 years ago
• thaler-lab / EnergyFlow
  Python package for the EnergyFlow suite of tools.
  ☆42Updated 4 months ago
• jet-net / JetNet
  For developing and reproducing ML + HEP projects.
  ☆25Updated 2 weeks ago
• xju2 / root_gnn
  GNN classification for reconstructed HEP events stored in ROOT
  ☆14Updated 3 months ago
• thoglu / jammy_flows
  A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control…
  ☆45Updated 8 months ago
• jackhcollins / CWoLa-Hunting
  Implementation of the CWoLa Hunting strategy for dijet resonances
  ☆19Updated 4 years ago
• francesco-vaselli / FlashSim
  FlashSim: A Deep Learning Solution to the HEP simulation problem
  ☆12Updated 9 months ago
• yobibyte / prettyplots
  Design your own matplotlib stylefile interactively
  ☆214Updated 4 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆311Updated 5 months ago
• eric-moreno / IN
  Interaction Graph Network for Hbb
  ☆11Updated 4 years ago
• ml4physicalsciences / ml4physicalsciences.github.io
  Website of the Machine Learning and the Physical Sciences workshop at NeurIPS conference
  ☆20Updated this week
• matthewfeickert / Statistics-Notes
  Personal notes on statistics with a focus on applications to experimental high energy physics
  ☆27Updated 2 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆231Updated 5 years ago
• lukasheinrich / MLHEP-pyprob
  Tutorial Code for MLHEP pyprob
  ☆18Updated 2 years ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• gnn-tracking / gnn_tracking
  Reconstruct billions of particle trajectories with graph neural networks
  ☆49Updated 2 weeks ago
• gradhep / relaxed
  Provides differentiable versions of common HEP operations and objectives.
  ☆25Updated 2 years ago
• madminer-tool / madminer
  Machine learning–based inference toolkit for particle physics
  ☆86Updated last year
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆355Updated 7 months ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆146Updated 2 months ago
• keeganstoner / nn-qft
  Code used for experiments in https://arxiv.org/abs/2008.08601
  ☆19Updated 4 years ago
• erum-data-idt / pd4ml
  ☆28Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆117Updated last month
• DeepLearningForPhysicsResearchBook / deep-learning-physics
  This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor …
  ☆70Updated 4 months ago
• scikit-hep / pyhf
  pure-Python HistFactory implementation with tensors and autodiff
  ☆291Updated this week
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆280Updated 2 years ago
• NERSC / sc21-dl-tutorial
  Material for the SC21 Deep Learning at Scale Tutorial
  ☆27Updated 2 years ago
• tchaton / lightning-geometric
  Integrate pytorch
  ☆46Updated 4 years ago
• marylou-gabrie / flonaco
  ☆19Updated 3 years ago