Cloud AutoML is described as 'Helps you easily train high quality custom machine learning models with limited machine learning expertise needed' and is an website in the development category. There are more than 10 alternatives to Cloud AutoML, not only websites but also apps for a variety of platforms, including Mac, Linux, SaaS and Windows apps. The best Cloud AutoML alternative is TensorFlow, which is both free and Open Source. Other great sites and apps similar to Cloud AutoML are Nanonets, TFLearn, Keras and HyperLabel.
TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks.
TensorFlow is the most popular Windows, Mac & Linux alternative to Cloud AutoML.
TensorFlow is the most popular Open Source & free alternative to Cloud AutoML.
Nanonets is an LLM based OCR solution that that automates document processing and data extraction workflows. With models that do not rely on pre-defined document templates, Nanonets helps companies automate document-heavy business processes like accounts payable, order...
Nanonets is the most popular Web-based & SaaS alternative to Cloud AutoML.
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.
Keras is a deep learning API written in Python and capable of running on top of either JAX, TensorFlow, or PyTorch.
Keras is the most popular Self-Hosted alternative to Cloud AutoML.
A desktop application with a UX built for through-put, HyperLabel is a complete toolset for quality labeling process management and training data creation.
mlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features.
Supervisely helps people with and without machine learning expertise to create state-of-the-art computer vision applications. We care about entire workflow from raw data to building and deploying neural networks for your special task without coding.
Training Mule allows you or your team to easily label images, providing you with the datasets that you require for the best results. With your images labelled, we will train the network of your choice and provide you with the model ready for use.
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Label Box is the most popular commercial alternative to Cloud AutoML.
Darknet: Open Source Neural Networks in C Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. With its no-code data labeling interface, you can achieve your MLOps projects in...
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