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Event Based Python Packages

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

Event datasets and transforms.

9K 295 56
kamuridesu
shimarin

Asynchronous event-based communication between client and server.

955 1 0
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.

473 259 133
cockpithq
dj-triggers

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

367 7 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.

246 259 133
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.

240 259 133
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.

238 259 133
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.

223 259 133
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.

211 259 133
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.

207 259 133
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.

192 16 0
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.

192 259 133
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.

184 259 133
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.

171 259 133
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.

162 259 133
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.

127 259 133
vguillet
redisros

A Redis-based pure python alternative to ROS2

107 17 2
gmierz
pupillib

Event extraction library for Pupil Labs eye tracker data.

99 11 2
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.

97 259 133
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.

92 259 133
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.

88 259 133
imdd-task
imdd-task

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

31 8 1
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    • Sources & methodology