ertis-research / kafka-ml
Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)
Why this job: topics: tensorflow, keras, deep-learning, machine-learning, pytorch
What it does
Kafka-ML is a framework to manage the pipeline of Tensorflow/Keras and PyTorch (Ignite) machine learning (ML) models on Kubernetes. The pipeline allows the design, training, and inference of ML models. The training and inference datasets for the ML models can be fed through Apache Kafka, thus they can be directly connected to data streams like the ones provided by the IoT.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 206
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.4
- Released 2 years ago
- Built with
- Python
- 74% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 57% closed
- 3 still open
- Pull requests
- 15 merged
- 25 waiting
- Releases
- 5
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 74%
- TypeScript 13%
- HTML 8%
- Solidity 3%
Topics
- kafka
- machine-learning
- kubernetes
- tensorflow
- docker
- data-stream
- iot
- keras-tensorflow
- gpu-acceleration
- deep-learning
- keras
- pytorch
Project record
- JobAI libraries and models
- StatusListed
- Commits306
- Forks33
- Watching6
- Stars in 28 days0
- CreatedApr 20, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026