QKeras provides quantization tools for deep learning with TensorFlow Keras.
Open source
24 alternativesKeras
Keras provides a deep learning API for building and training machine learning models.
About Keras
Keras is a deep learning API for building and training machine learning models. It supports building models with the Functional API, customizing layers and models by subclassing, and training and evaluation with built-in methods such as model.fit.
It works with JAX, TensorFlow, and PyTorch backends. KerasHub provides Keras 3 implementations of model architectures with pretrained checkpoints available on Kaggle Models for training and inference, and the site includes code examples for computer vision, natural language processing, and generative tasks including text and image generation.
Key features
- Build models with Functional API using layers like Conv2D and Dense
- Train and evaluate models with built-in model.fit method
- Run same models on JAX, TensorFlow, and PyTorch backends
- Customize models by subclassing Keras layers
- Use KerasHub pretrained checkpoints for training and inference
- Generate text and images from preset models with generate method
Best for: Developers building and training deep learning models across JAX, TensorFlow, and PyTorch.
Good for
- Works with JAX, TensorFlow, and PyTorch backends
- Focuses on readable code, debugging speed, maintainability, and deployability
- Provides guides and examples for vision, NLP, and generative tasks
Keras at a glance
- Website
- keras.io
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Good for
- Developers
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Keras alternatives
Tools and sites you could use instead, ranked by how closely they match.
PaddlePaddle provides a deep learning framework for training models across devices and platforms.
Open source
24 alternatives
Replicate provides a cloud API for running and fine-tuning open machine learning models and deploying custom models.
DyNet provides tools for building dynamic neural networks and deep learning models.
Open source
24 alternatives
NVIDIA NIM offers APIs for trying models used to build enterprise generative AI applications.
ModelFox supports training, deployment, and monitoring for machine learning models.
Popular in AI Infrastructure & MLOps
Well-known listings from the same topic.
Guild AIguild.aiFlow AIflow-ai.comsystemprompt.iosystemprompt.ioKili Technologykili-technology.comAPI docsdocs.x.aiEyePop.aieyepop.ai
Keras FAQ
Which machine learning frameworks can Keras work with?
JAX, TensorFlow, and PyTorch through its multi-backend approach.
What is KerasHub used for?
It provides Keras 3 implementations of model architectures with pretrained checkpoints on Kaggle Models for training and inference.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.