ML collaboration platform - AI tools

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$

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

• Freemium

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

Transformer Lab is an open-source platform enabling researchers, ML engineers, and developers to collaboratively build, train, evaluate, and deploy AI models with features like provenance, reproducibility, and transparency.

• Free

XetHub provides a backend storage solution for Hugging Face, enabling large-scale collaboration and streamlined development for ML teams. It offers software-style development practices for machine learning projects.

• 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

Argilla is an open-source collaboration platform that enables AI engineers and domain experts to build and maintain high-quality datasets for language model training, fine-tuning, and evaluation.

• Other

Imaranda is a collaborative platform that facilitates structured discussions and innovation within teams. It uses AI to guide discussions, ensuring clarity and actionable results.

• Freemium
• From 6$

lablab.ai is a community platform hosting AI hackathons, empowering makers to build with state-of-the-art artificial intelligence. Join events and innovate with cutting-edge AI technologies.

• Free

Valohai is an MLOps platform that streamlines complex machine learning workflows with CI/CD capabilities and pipeline automation, supporting on-premises and any-cloud environments.

• Contact for Pricing