Kaggle
Kaggle is a global AI and machine learning platform that brings together developers, researchers, organizations, and data science enthusiasts to build, evaluate, and improve artificial intelligence technologies. The platform offers access to AI competitions, benchmarks, hackathons, datasets, notebooks, pre-trained models, and educational courses that help users develop real-world machine learning skills. Kaggle enables organizations and researchers to host competitions, crowdsource evaluations, publish benchmarks, and discover top AI talent through its large global community of over 31 million users. Users can access free GPU and TPU-powered notebook environments, collaborate on public datasets, explore pre-trained AI models, and participate in large-scale AI research initiatives. The platform also provides learning resources including hands-on courses, solution write-ups, and reproducible notebooks that support both beginners and advanced machine learning practitioners.
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Deepnote
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone.
Features:
- Sharing notebooks and projects via URL
- Inviting others to view, comment and collaborate, with version control
- Publishing notebooks with visualizations for presentations
- Sharing datasets between projects
- Set team permissions to decide who can edit vs view code
- Full linux terminal access
- Code completion
- Automatic python package management
- Importing from github
- PostgreSQL DB connection
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Modelbit
Don't change your day-to-day, works with Jupyter Notebooks and any other Python environment. Simply call modelbi.deploy to deploy your model, and let Modelbit carry it — and all its dependencies — to production. ML models deployed with Modelbit can be called directly from your warehouse as easily as calling a SQL function. They can also be called as a REST endpoint directly from your product. Modelbit is backed by your git repo. GitHub, GitLab, or home grown. Code review. CI/CD pipelines. PRs and merge requests. Bring your whole git workflow to your Python ML models. Modelbit integrates seamlessly with Hex, DeepNote, Noteable and more. Take your model straight from your favorite cloud notebook into production. Sick of VPC configurations and IAM roles? Seamlessly redeploy your SageMaker models to Modelbit. Immediately reap the benefits of Modelbit's platform with the models you've already built.
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Google Colab
Google Colab is a free, hosted Jupyter Notebook service that provides cloud-based environments for machine learning, data science, and educational purposes. It offers no-setup, easy access to computational resources such as GPUs and TPUs, making it ideal for users working with data-intensive projects. Colab allows users to run Python code in an interactive, notebook-style environment, share and collaborate on projects, and access extensive pre-built resources for efficient experimentation and learning.
Colab also now offers a Data Science Agent automating analysis, from understanding the data to delivering insights in a working Colab notebook (Sequences shortened. Results for illustrative purposes. Data Science Agent may make mistakes.)
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