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1.2.11

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aiamplitudes-common-public

A library of common utils for the AI Amplitudes project

Published6 Jun 2026

Direct dependencies12

Transitive dependenciesNot calculated

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Version 1.2.11 documentation

aiamplitudes_common_public

Common public utils library for the "AI for Scattering Amplitudes" project, located at: https://github.com/AIAmplitudes/AIAmplitudes_common_public/

src/ init.py- import-level objects and functions. These include the Phi2 and Phi3 symbols, the front and back spaces and relations in various weights and formats, run-polynomials, and their coeffs. For example use-cases, please explore the Amplitudes_101 jupyter notebook!

download_data.py - contains the scripts to download a (compressed) version of the data files. Call download_all(DATA_DIR_NAME) to download the files. This is needed to load the symbols, etc., but does not need to be called often! To download the data in the "public" repo rather than the "Phase 1" repo, you will need to generate a github access token that has read access from the "data_public" repo and pass it to download_all(). Note that some functions involving front/back spaces etc. involve files that have not yet been made public, so this is necessary in order to explore the full functionality of the amplitudes package.

file_readers.py - functions to read the files. convert() is a multipurpose function that is called often, while the others are more specialized to different cases. Most of these are called within functions and should not need to be called by the typical user.

fbspaces.py - Utils for the front and back spaces. This includes coproducts, lookups, etc.

rels_utils.py- Table of homogeneous relations (as defined in the "Bootstrapping a Stress Tensor..." paper), relation eval functions, etc.- this is called often!

commonclasses.py - Common wrappers used for generating and processing relation-instances.

polynomial_utils.py - functions related to analysis of the "d-ray" polynomials mentioned in the "Recurrent Features of Amplitudes..." paper.

notebook/ Amplitudes_101.ipynb- a notebook that displays some simple exploratory data analysis functions of this package.

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Declared dependencies 12

Native requirements

12 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
beautifulsoup4 Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`beautifulsoup4>=4.0.0`	runtime
einops Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`einops>=0.7.0`	runtime
matplotlib Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`matplotlib>=3.9.0`	runtime
numpy Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`numpy>=2.0.0`	runtime
pandas Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`pandas>=2.2.0`	runtime
scipy Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`scipy>=1.14.0`	runtime
tensorboard Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`tensorboard>=2.12.3`	runtime
torch Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`torch>=2.8.0`	runtime
torchaudio Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`torchaudio>=2.8.0`	runtime
torchmetrics Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`torchmetrics>=1.6.0`	runtime
torchvision Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`torchvision>=0.23.0`	runtime
wandb Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`wandb>=0.18.0`	runtime

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aiamplitudes_common_public-1.2.11-py3-none-any.whl

bdist_wheel · 52.1 KB · Python py3

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aiamplitudes_common_public-1.2.11.tar.gz

sdist · 45.79 KB · Python source

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Release published: 6 Jun 2026
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First observed: 21 Oct 2026
Last observed: 21 Oct, 09:55 UTC

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