jaxls

[!NOTE] This is Almond Bot's fork of brentyi/jaxls, published to PyPI as almond-jaxls because upstream has no current PyPI release. It installs the jaxls import name and is pinned to the revision the Almond Axol SDK is tested against (see the almond branch). If upstream publishes an official release, prefer it over this fork.

[ Documentation ]

pyright

jaxls is a solver for sparse, constrained, and/or non-Euclidean least squares problems in JAX.

Projects using jaxls

egoallo
GitHub stars 		For guiding diffusion model sampling with 2D observations / reprojection errors.
videomimic
GitHub stars 		For joint human-scene optimization and motion retargeting.
pyroki
GitHub stars 		For solving inverse kinematics, motion planning, etc for robots.
ProtoMotions
GitHub stars 		For trajectory-level humanoid motion retargeting (via PyRoki).

The documentation also covers how you can use it for things like cloth simulation:

image

Camera calibration:

image

Mesh optimization:

image

And optimal control:

https://github.com/user-attachments/assets/82c2ad41-d688-4825-9671-8f6af9f2b252

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

Owner

PyPI data
Data sourced directly from PyPI's database.

License

MIT License (MIT)

Requires

Python >=3.10

Provides Extra

cholmod dev docs

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

almond_jaxls-0.1.0.tar.gz (67.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

almond_jaxls-0.1.0-py3-none-any.whl (80.1 kB view details)

Uploaded Python 3

File details

Details for the file almond_jaxls-0.1.0.tar.gz.

File metadata

  • Download URL: almond_jaxls-0.1.0.tar.gz
  • Upload date:
  • Size: 67.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for almond_jaxls-0.1.0.tar.gz
Algorithm Hash digest
SHA256 bd422e050ab57e4b3c03f53b46a1576241dad4c1b373d43488ae8e7e9f50c591
MD5 86674e7206038a14b2fd0d9e63f78928
BLAKE2b-256 7c8b00b6b96ba17a83abdb398b294bf3c3e47329bee78d44c1ffccf89c9da3bb

See more details on using hashes here.

Provenance

The following attestation bundles were made for almond_jaxls-0.1.0.tar.gz:

Publisher: publish.yml on almond-bot-research/jaxls

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file almond_jaxls-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: almond_jaxls-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 80.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for almond_jaxls-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 842157769524a4b88498b9c695922efac975dc76ed12ded975953e6b43242a1e
MD5 b8cc0818735be75d8f1f5407b8f27b0b
BLAKE2b-256 6c5b6366ffc24ba4fc4c80e00f63f161ea8f4484c253ff06f0ade1e0e21d6b35

See more details on using hashes here.

Provenance

The following attestation bundles were made for almond_jaxls-0.1.0-py3-none-any.whl:

Publisher: publish.yml on almond-bot-research/jaxls

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page