BigML

RapidMiner

RapidMiner is a data science platform that enables users to build, train, and deploy machine learning models. It provides a comprehensive environment for data preparation, model development, and model deployment. With RapidMiner, users can create, test, and refine machine learning models using a wide range of algorithms and techniques.

Amazon SageMaker

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. It removes the heavy lifting from each step of the machine learning process, enabling you to focus on the science of machine learning and the business value it can bring.

DataRobot

DataRobot is an automated machine learning platform designed to help users build and deploy models quickly and efficiently. It provides a range of tools and features to support the entire machine learning lifecycle, from data preparation to model deployment.

IBM Watson Studio

IBM Watson Studio is a cloud-based platform for building, training, and deploying AI and machine learning models. It provides a collaborative environment for data scientists, developers, and domain experts to work together on AI projects.

LlamaFactory

LlamaFactory is a software that enables unified efficient fine-tuning of over 100 large language models (LLMs) and vision-language models (VLMs). This tool is designed to simplify the process of fine-tuning these models, making it more accessible and efficient for users. LlamaFactory is particularly useful for researchers and developers who work with LLMs and VLMs, as it streamlines the fine-tuning process and allows for more effective model customization.

Label Studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format. It allows users to label and annotate various types of data, including text, images, and audio, in a standardized format.