Alternatives to Keras.io - Similar Sites & Competitors
Keras: Deep Learning for humans
Keras offers user-friendly tools and guides for building deep learning models, making machine learning accessible and efficient for developers of all levels.
Build deep learning models with ease
Keras is a deep learning API that helps you create powerful machine learning models with a focus on simplicity and efficiency. Whether you're new to AI or an experienced developer, the site offers clear documentation, practical guides, and code examples to help you get started and advance your skills.
You'll find resources like quickstarts, API references, and tutorials, all designed to make the development process faster and more intuitive. With Keras, you can experiment, debug, and deploy models easily, thanks to its readable code and helpful tools. It's a great place to learn, prototype, and build real-world AI solutions.
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Flax offers flexible tools for building neural networks with JAX, providing guides, tutorials, and documentation for AI researchers and developers.
Explore Neural Network Libraries, a deep learning framework for research and production, with resources for Python and C++ developers.
Explore tools and resources for deploying machine learning models across environments, with guides, code examples, and hardware optimization tips.
Explore NumPyro's documentation for building and running probabilistic models in Python with fast, flexible Bayesian inference and detailed examples.
Test and protect ML models from adversarial attacks
Adversarial Robustness Toolbox offers open-source tools to test, defend, and certify machine learning models against security threats. Python-focused site.
Nyckel lets you quickly build and deploy custom machine learning models—no advanced technical background needed. Fast, secure, and easy to use.
Build, deploy, and manage federated learning AI models at scale with a collaborative production platform designed for secure, distributed machine learning.
Kubeflow helps you build, deploy, and manage machine learning workflows easily on Kubernetes, making AI projects simple and scalable.
Iguazio is an AI development platform that helps you build, deploy, and manage machine learning and generative AI applications at scale.
ONNX is an open standard platform that enables machine learning models to work across different tools, making AI development more flexible and accessible.
DeepSpeed is a library that helps you train and run large AI models faster and more efficiently, making advanced deep learning easier for everyone.
Optuna is an open-source tool that helps you automatically tune machine learning models for better performance, making optimization easy and efficient.
Amethix offers machine learning and AI solutions to help organizations integrate data, improve decision-making, and enhance business operations.
飞桨PaddlePaddle是一个中文开源深度学习平台，支持动态图和静态图，助力开发者轻松创新和部署AI应用。
Flower is an open-source platform for building, running, and evaluating federated machine learning apps across any ML framework or programming language.
Cerebras offers a fast, user-friendly platform for AI training and deployment, featuring advanced models and tools for innovative teams and developers.
Build and deploy machine learning models for edge devices with a user-friendly platform offering tools for AI, computer vision, and sensor data.
Clarifai lets you build, manage, and deploy AI and machine learning models across any computing environment, making AI workflows easier and more efficient.
JFrog ML offers a platform to build, deploy, and manage AI and machine learning applications at scale efficiently.
Tecton helps teams build, manage, and serve machine learning data features, making it easier to get AI models into production quickly and reliably.
Comet is an end-to-end platform for AI developers to track experiments, evaluate models, and monitor production, helping you build better machine learning systems.
Explore Qwen, a platform for advanced large language models and AI tools, offering chat demos and resources for developers and AI enthusiasts.
Dataiku is a platform to build, deploy, and manage AI and analytics projects, helping teams turn data into business insights and smarter decisions.
Ray is an open source platform to build, scale, and manage machine learning and Python applications with easy-to-use tools and libraries.
ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.
Explore fast artificial neural networks for rapid data processing, learning, and AI development. Ideal for those interested in machine learning and neural networks.
Deploy and run high-performance open-source AI models on your own CPU or GPU servers with Neural Magic's flexible inference solutions.
AutoKeras helps you build machine learning models easily with an automated system based on Keras. Find guides, resources, and community support.
Caffe2 is a lightweight, modular deep learning framework for building and deploying AI models. Access docs, tutorials, and APIs for scalable machine learning.
Seldon helps businesses manage, deploy, and monitor machine learning and AI models, offering flexible tools for real-time workflows and observability.
Worldwide Keras.io Alternatives
Caffe is an open-source deep learning framework that lets you build, train, and deploy neural networks for computer vision and other AI tasks.
Explore, test, and deploy cutting-edge machine learning models in Chinese with this all-in-one AI development and sharing platform.
Join a collaborative AI community to explore, share, and build machine learning models, datasets, and applications. Open-source tools for all levels.
Baidu AI Open Platform offers cutting-edge tools for speech, image, and NLP, making it easy to build and deploy AI-powered applications in Chinese.
Dlib is a free, open-source C++ library with machine learning tools for building complex software, widely used in robotics, image processing, and more.
Create machine learning models with your own images, sounds, or poses—no coding or experience needed. Build, train, and use AI in minutes.
Deeplearning4j is a suite of deep learning tools for Java, letting you train models on the JVM and connect with Python, TensorFlow, and ONNX runtimes.
Flux is a deep learning library for Julia, offering tools and resources for building, training, and deploying machine learning models with ease.
AutoGluon helps you build machine learning models for text, images, time series, and tabular data—no coding expertise required.
Join a global challenge using machine learning and computer vision to help decode ancient scrolls for prizes and scientific discovery.
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