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keras

63,410
19,621
Python

Project Description

Deep Learning for humans

keras: Deep Learning for humans

Project Title

keras — Deep Learning Framework for Accelerated Model Development

Overview

Keras is a multi-backend deep learning framework designed to accelerate model development and training. It supports JAX, TensorFlow, PyTorch, and OpenVINO, allowing developers to build and train models for various applications like computer vision, natural language processing, and more. Keras stands out for its high-level UX, state-of-the-art performance, and ability to scale from laptops to large clusters of GPUs or TPUs.

Key Features

  • Multi-backend support for JAX, TensorFlow, PyTorch, and OpenVINO
  • High-level UX for accelerated model development
  • State-of-the-art performance with speedups up to 350% compared to other frameworks
  • Scalability from laptops to large clusters of GPUs or TPUs

Use Cases

  • Startups and enterprises building computer vision, natural language processing, and audio processing models
  • Timeseries forecasting and recommender systems development
  • Leveraging the power of Keras for model predictions using the OpenVINO inference-only backend

Advantages

  • Easy-to-debug runtimes like PyTorch or JAX eager execution
  • Drop-in replacement for tf.keras with TensorFlow backend
  • Ability to consume datasets in any format, regardless of the backend used

Limitations / Considerations

  • OpenVINO backend is inference-only, designed for running model predictions
  • Backend must be configured before importing keras, and cannot be changed after package import
  • Certain preprocessing layers and tf.data pipelines require tensorflow backend

Similar / Related Projects

  • TensorFlow: A comprehensive deep learning framework with a focus on production readiness. Keras can be used as a high-level API for TensorFlow.
  • PyTorch: A dynamic deep learning framework that is popular for its dynamic computation graph. Keras supports PyTorch as a backend.
  • MXNet: A deep learning framework designed for both efficiency and flexibility. While Keras does not directly support MXNet, it offers similar flexibility in model development.

Basic Information


📊 Project Information

  • Project Name: keras
  • GitHub URL: https://github.com/keras-team/keras
  • Programming Language: Python
  • ⭐ Stars: 63,351
  • 🍴 Forks: 19,614
  • 📅 Created: 2015-03-28
  • 🔄 Last Updated: 2025-08-20

🏷️ Project Topics

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Project Information

Created on 3/28/2015
Updated on 9/17/2025