Deep Learning for humans
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The keras-team organization has established a significant public presence on GitHub, focusing on deep learning technologies. Notable repositories include keras, an essential library for deep learning, and autokeras, an AutoML library. The primary programming languages used are Python and Jupyter Notebook, supporting a wide range of deep learning applications.
Top languages
Public repositories
keras
Deep Learning for humans
autokeras
AutoML library for deep learning
keras-io
Keras documentation, hosted live at keras.io
keras-tuner
A Hyperparameter Tuning Library for Keras
keras-applications
Reference implementations of popular deep learning models.
keras-contrib
Keras community contributions
keras-core
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
keras-cv
Industry-strength Computer Vision workflows with Keras
keras-preprocessing
Utilities for working with image data, text data, and sequence data.
keras-hub
Pretrained model hub for Keras 3.
keras-docs-zh
Chinese (zh-cn) translation of the Keras documentation.
keras-rs
Multi-backend recommender systems with Keras 3
governance
Governance of the Keras API.
keras-docs-ko
Korean translation of the Keras documentation.
tf-keras
The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.
keras-docs-ja
Japanese translation of the Keras documentation.
kinetic
Run ML workloads seamlessly on cloud TPUs and GPUs with a single Python decorator. No infrastructure management required.
keras-autodoc
Documentation autogeneration utilities.
reservoir_nn
No description provided for this repository.
.allstar
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.github
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Frequently asked questions
What does keras-team build on GitHub?
The keras-team builds tools and libraries for deep learning on GitHub, including the widely used keras library and autokeras for automated machine learning. Their repositories support various deep learning applications and contribute to the research community.
Which programming languages does keras-team use?
Keras-team primarily uses Python and Jupyter Notebook for their repositories. These languages are well-suited for deep learning tasks, enabling users to create, train, and deploy machine learning models efficiently.
Are keras-team's repositories public?
Yes, all of keras-team's repositories are public on GitHub. This transparency allows developers and researchers to access, contribute to, and utilize their deep learning libraries and tools in various projects.
Is this exposure intended?
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