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Event Based Python Packages

Python packages with the GitHub topic event-based. Sorted by relevance, with stars and monthly downloads.
neuromorphs
tonic

Event datasets and transforms.

15K 282 53
kamuridesu
shimarin

asynchronous event-based communication between client and server

2K 1 0
intel
dffml-model-tensorflow

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

2K 257 135
intel
dffml-model-scikit

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

2K 257 135
intel
dffml-model-scratch

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

2K 257 135
intel
dffml

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

1K 257 135
intel
dffml-model-spacy

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

1K 257 135
intel
dffml-model-tensorflow-hub

No description available

1K 257 135
intel
dffml-model-transformers

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

978 257 135
intel
dffml-model-vowpalwabbit

No description available

813 257 135
intel
dffml-service-http

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

684 257 135
intel
dffml-config-yaml

DFFML config dffml-config-yaml

682 257 135
intel
dffml-source-mysql

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

658 257 135
intel
dffml-feature-git

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

558 257 135
intel
dffml-feature-auth

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

419 257 135
cockpithq
dj-triggers

A Triggers system for Django made for implementing event-based business logic configurable through the Django admin site.

415 7 0
iot-salzburg
nearest-advocate

A time delay estimation method for discrete event-based time-series data.

368 15 0
intel
shouldi

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

299 257 135
intel
dffml-operations-binsec

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

290 257 135
vguillet
redisros

A Redis-based pure python alternative to ROS2

230 17 2
gmierz
pupillib

A software package to perform trial extraction on Pupil Labs eye tracker data collected into XDF files through LabRecorder.

131 11 2
imdd-task
imdd-task

Short-reach Optical Communication: A Real-world Task for Neuromorphic Hardware

54 7 1
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