pyribs Profile Banner
pyribs Profile
pyribs

@pyribs

Followers
57
Following
3
Media
4
Statuses
16

A bare-bones Python library for quality diversity optimization. Currently in beta — Come along for the adventure :) Managed by @icaroslab

Joined February 2021
Don't wanna be here? Send us removal request.
@btjanaka
Bryon Tjanaka
6 months
Pyribs v0.8.0 is now available! @pyribs v0.8.0 adds support for new algorithms (Novelty Search, BOP-Elites, and Density Descent Search), while making it easier than ever to design new ones 🧠 Here are the highlights 🧵
1
6
36
@btjanaka
Bryon Tjanaka
2 years
Daily @pyribs tweet #1: My favorite part of the lunar lander tutorial is how fast it became. The first version took 2 hrs to run, but by reducing the CMA-ME iterations and integrating Dask, it now runs in ~20 min! Fast runtime is important for a tutorial that all users start with
1
2
4
@btjanaka
Bryon Tjanaka
3 years
We are excited to announce the release of @pyribs v0.5.0! Pyribs v0.5.0 brings a slew of new features, tutorials, and improvements! Installation: pip install ribs (our Conda package will be ready in a week or two) Website: https://t.co/a8oLLICoR7 GitHub: https://t.co/0ufRXe01IO
3
9
44
@pyribs
pyribs
4 years
We are searching for feature requests for pyribs! If you have an idea to improve the library, fill out an issue on our GitHub:
Tweet card summary image
github.com
A bare-bones Python library for quality diversity optimization. - icaros-usc/pyribs
0
2
4
@pyribs
pyribs
4 years
And let us know if you have any questions or comments about this release! DM us here or raise an issue on GitHub: https://t.co/ZuW6u8QHMS 7/7
Tweet card summary image
github.com
A bare-bones Python library for quality diversity optimization. - icaros-usc/pyribs
0
0
2
@pyribs
pyribs
4 years
That’s all for now! We recommend taking a look at the blog to check if any of our backwards-incompatible changes affect you https://t.co/i1stZrqpBM 6/7
pyribs.org
We discuss the wide range of features and improvements in pyribs 0.4.0.
1
0
1
@pyribs
pyribs
4 years
parallel_axes_plot visualizes archives in behavior space https://t.co/mZdx3xucq0 Thanks @ndennler! 5/7
1
0
1
@pyribs
pyribs
4 years
as_pandas() now returns an ArchiveDataFrame, which makes it easy to manipulate elite data https://t.co/9sbGono9nK() 4/7
1
0
0
@pyribs
pyribs
4 years
On each archive, archive.stats now contains info such as QD score and mean objective https://t.co/RaAUm8yZY6 3/7
1
0
0
@pyribs
pyribs
4 years
You can now associate metadata, i.e. an arbitrary object like a dict of stats, with each elite https://t.co/8ihkeHNwso 2/7
2
0
1
@pyribs
pyribs
4 years
pyribs 0.4.0 is live! It has many new features (some backwards-incompatible); here we cover a few. See our blog https://t.co/i1stZrqpBM for more info. 1/7
pyribs.org
We discuss the wide range of features and improvements in pyribs 0.4.0.
2
2
7
@pyribs
pyribs
5 years
An exciting extension of pyribs that incorporates gradient information! Definitely check it out.
@tehqin17
Matt Fontaine
5 years
Excited to share some recent work with @snikolaidis19 on differentiable quality diversity (DQD). pdf: https://t.co/7Js2BrZfw9 abs: https://t.co/CTv6MkJiS2 code: https://t.co/pAykoLxBPN
0
0
1
@pyribs
pyribs
5 years
Announcing pyribs 0.3.1! This is a patch release. In particular, we have added tests for the SlidingBoundariesArchive and believe it is ready for more rigorous use.
0
0
2
@pyribs
pyribs
5 years
pyribs is now on Conda thx to @condaforge! Get the full dist (same as "pip install ribs[all]") with: conda install -c conda-forge pyribs For the base dist (same as "pip install ribs"): conda install -c conda-forge pyribs-base See our blog for more info
pyribs.org
pyribs is now available on the conda-forge channel under the name pyribs.
0
2
3
@pyribs
pyribs
5 years
Our initial release! Check us out on
Tweet card summary image
pyribs.org
A bare-bones Python library for quality diversity optimization.
@tehqin17
Matt Fontaine
5 years
Excited to release pyribs today, our new quality diversity (QD) library! Website: https://t.co/myIz9F8L2L Documentation: https://t.co/VAxwCMM6vR GitHub: https://t.co/fA05im5EGz Fellow Contributors: @btjanaka @LunJohnZhang @snikolaidis19
0
0
2