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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.

10K 287 53
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 256 135
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 256 135
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 256 135
intel
dffml-model-tensorflow-hub

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 256 135
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 256 135
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.

1K 256 135
intel
dffml-model-vowpalwabbit

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.

964 256 135
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.

918 256 135
kamuridesu
shimarin

Asynchronous event-based communication between client and server.

888 1 0
intel
dffml-config-yaml

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.

646 256 135
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.

640 256 135
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.

626 256 135
intel
dffml-source-mysql

DFFML Source for MySQL Protocol

618 256 135
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.

534 256 135
cockpithq
dj-triggers

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

506 7 0
iot-salzburg
nearest-advocate

A time delay estimation method for event-based time-series data. Time delay estimation is also known as the correction of time offsets and time lags as well as time synchronization.

422 16 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.

305 256 135
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.

233 256 135
vguillet
redisros

A Redis-based pure python alternative to ROS2

176 17 2
gmierz
pupillib

Event extraction library for Pupil Labs eye tracker data.

166 11 2
imdd-task
imdd-task

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

98 7 1
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