argilla-io / argilla-plugins

🔌 Open-source plugins for with practical features for Argilla using listeners.

argilla-io/argilla-plugins Issues

Argilla Plugins Launch
Updated a year ago
train-test-splits for `datasets`
Updated a year ago1
use `classy-classification` for active learning
Updated a year ago6
use `TokenClassification` annotations to annotate new data
Closed a year ago
add `rich` logging to plugins
Closed a year ago
set end-of-lifetime for record within `dataset`
Closed a year ago
highlight data using tokenattributions within `TextClassification`
Updated a year ago
use a gazetteer to annotate records for `TokenClassification`
Updated a year ago
inference for updating record embeddings
Updated a year ago
implement `telemetry` like within Argilla core
Updated a year ago
create `2D-projection`in the background for every x-record
Updated a year ago
end of life with backup
Updated a year ago3
annotate record based on `KNN vector similarity` with annotated data
Updated a year ago2
consider `programmatic labelling` to apply as a separate annotator
Updated a year ago
add `class` abtraction to plugins
Updated a year ago3
remove duplicate records from `dataset`
Updated a year ago3
directional sync `datasets` A->B
Updated a year ago
add bias-equality features to records with `disaggregators`
Updated a year ago
`paraphrase` text of less represented records
Updated a year ago
add `CLI` support via `/utils`
Updated a year ago
How to structure the plugins.
Updated a year ago2
materialize weak supervision rules to annotate data
Updated a year ago
set-up `active learning` for `TokenClassifciation`
Updated a year ago
inference with `unauthenticated` endpoint
Updated a year ago
use `small-text` for active learning
Updated a year ago
set max number of record for `datasets`
Updated a year ago
bi-directional sync `datasets` A<->B
Updated a year ago
reporting with `great-expectations`
Updated a year ago
reporting with `datapane`
Updated a year ago