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jrmt

pypi.org·Infrastructure

jrmt is an open-source Python package that implements differentiable random matrix theory computations using JAX. It is designed for researchers and practitioners in machine learning and mathematics who require advanced matrix theory tools.

Open SourceMIT
CLI
J
Visit PyPI↗

Overview

4 features
  • ✓Random matrix theory
  • ✓JAX integration
  • ✓Differentiable programming
  • ✓Python package

Tags

random-matrix-theoryjax-integrationdifferentiable-programming

Built with & integrations

Runs on
CLI

Trust & compliance

LicenseMIT
Verified signals
✓ HTTPS✓ Open Source

Recent events

Latest indexed changes and source events

  1. IndexedJun 27, 8:32 AM

    pypi.org discovered by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

At a glance

Platforms
Cli
Languages
English
License
MIT
First seen
May 20, 2026
Activity
🟢 Active
Status
🟢 Active
Built for
machine learning researchers and mathematicians
Model
Open source
Solves
Providing researchers with tools for differentiable random matrix theory computations in Python using JAX.

Developer

Pypi

PulseGate index

Confidence
Low · 64
Indexed
Jun 27, 2026
Lifecycle
Alive
Activity
Active
First seen
May 2026
Last seen
2w ago
Freshness
Unknown
Identity audit (9)
Entity ID
cmqw3sgvk025j8h8f16giylzv
Slug
jrmt-pypi-org
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jun 27, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jun 27, 2026
Canonical URL
https://pypi.org/project/jrmt

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