ML model development tools - AI tools

TensorFlow is an open-source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for building and deploying ML models.

• Free

ML Showcase offers a curated collection of interactive Machine Learning projects with a zero-setup Jupyter Notebook environment running on free GPUs.

• Freemium

Liner is a free tool that enables users to train ML models easily without coding or machine learning expertise. It processes training data to produce easy-to-integrate ML models.

• Free

Kubeflow is an open-source toolkit designed to make deploying, managing, and scaling machine learning workflows on Kubernetes simple and portable.

• Free

Neuralhub is a comprehensive platform for building, tuning, and experimenting with neural networks, offering tools and resources for AI enthusiasts, researchers, and engineers in a collaborative environment.

• Freemium

AI Studio is a comprehensive MLOps platform that provides enterprise-level tools for machine learning governance, monitoring, and deployment. It enables companies to streamline their ML operations with real-time insights and automated workflows.

• Freemium

Nyckel is a platform that enables rapid development and deployment of custom machine learning models with high accuracy and security, requiring no advanced ML expertise.

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MetricRule is an open-source tool offering granular monitoring for machine learning models in production, tracking performance, feature drifts, and data anomalies.

• Free

sizeless accelerates the development cycle of ML models, offering automated deployment, testing, and benchmarking. It's designed for ML engineers, researchers, and academics to streamline their workflow and improve model performance.

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AI Models is a comprehensive directory offering access to a wide range of open-source AI models and machine learning tools, fostering an open-source AI community.

• Free

BigML is a comprehensive Machine Learning platform designed to simplify and automate tasks like classification, regression, time series forecasting, and more. It offers an accessible interface for building and deploying ML models.

• Freemium

Superwise provides comprehensive ML observability to monitor, analyze, and maintain the health of machine learning models in production.

• Freemium

Gradio is a Python library that enables quick creation and sharing of web interfaces for machine learning models, making them accessible to anyone, anywhere.

• Free

Neuralfinity enables users to create datasets, train generative AI models like LLMs and VLMs from scratch, and evaluate their performance. It provides an end-to-end platform for model development, focusing on domain-specific accuracy and cost efficiency.

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Hugging Face is a collaboration platform where the machine learning community creates, discovers, and collaborates on models, datasets, and applications. It offers comprehensive tools for hosting, developing, and deploying machine learning solutions.

• Freemium
• From 9$

MLflow is an open-source, end-to-end MLOps platform for building better models and generative AI apps. It simplifies complex ML and generative AI projects, offering comprehensive management from development to production.

• Free

Openlayer provides a secure, SOC 2 Type 2 compliant platform for testing, evaluation, and observability of machine learning models. With its seamless, 60-second onboarding and commit-style versioning, it makes data-driven ML evaluation painless and effective.

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• API

Remyx AI is a comprehensive platform for AI development that helps teams curate datasets, train models, and streamline deployment with an integrated studio environment.

• Freemium

Apache TVM is an open-source machine learning compiler framework designed to optimize and efficiently run computations on various hardware backends, including CPUs, GPUs, and accelerators.

• Free