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. Kaggle: For competitions and datasets. . GitHub: For open source projects and collaboration. . Colab: Google’s platform for building and sharing machine learning models. - Source: dev.to / 8 days ago
Model execution is about making your AI model available to the end user. Great results only your laptop or Google Colab notebook won't cut it in a business. The AI model has to integrate with your business IT if it's going to deliver value. - Source: dev.to / 25 days ago
Google Colab - Free Jupyter Notebooks development environment. - Source: dev.to / 4 months ago
To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab. - Source: dev.to / 5 months ago
Please head over to the Google Colab. - Source: dev.to / 6 months ago
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.
EvalAI - Evaluating state of the art in AI
Kaggle - Kaggle offers innovative business results and solutions to companies.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Driven Data - DrivenData hosts data science competitions to build a better world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.
Explorium - Explorium is an External Data Platform that offers ML and AI-based datasets so data scientists can take part in data science competitors and marathons to win prizes.