kubeflow/katib
Automated Machine Learning on Kubernetes
Apache-2.0Python
- Stars
- 1.7k
- Forks
- 548
- Open issues
- 78
- Last push
- today
About katib
katib is a free, open-source AI inference tool by kubeflow, written mainly in Python. Automated Machine Learning on Kubernetes. It has 1.7k GitHub stars and 548 forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 1,706
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
Similar free tools
pytorch105k stars · Tensors and Dynamic neural networks in Python with strong GPU acceleration
ray44k stars · Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
netron34k stars · Visualizer for neural network, deep learning and machine learning models
keras64k stars · Deep Learning for humans
pytorch-lightning31k stars · Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Made-With-ML50k stars · Learn how to develop, deploy and iterate on production-grade ML applications.
katib FAQ
Is katib free?
Yes. katib is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does katib run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does katib need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is katib still maintained?
Yes. It was last updated today and has 78 open issues on GitHub.
What are alternatives to katib?
Similar free, open-source tools include pytorch, ray, netron, keras.