Weights & Biases
🚀 Quickstart - Weights & Biases
Made with Python Data Science🌟 Learn to train ML models in the Replit x Weights & Biases Hackathon from February 4th - 11th 🌟
Fork this repl and run it to get started with basic machine learning with Weights & Biases
Weights & Biases is a machine learning experiment tracking, model checkpointing and data visualisation tool used by over 200,000 ML practitioners across the world.
Running this repl will::
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Run some dummy logging to show the basics of logging to Weights & Biases
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Run a mini-experiment varying the amount of Dropout in your model and logging the results to Weights & Biases
To log results to your own Weights & Biases account, create an account at the link below, then enter your API key when prompted. Otherwise just select the option to log anonymously, without entering an API key.
Sign up to Weights & Biases here to get started!
Recent comments (0)-
🛥️ nanoGPT in Replit
Made with Python Data Science🌟 To learn more about how to train your own ML models in Replit, sign up to the Replit x Weights & Biases Hackathon from February 4th - 11th 🌟
GPU Powered - When your fork this repl make sure to turn on the GPU option in your repl settings
Weights & Biases is a machine learning experiment tracking, model checkpointing and data visualisation tool used by over 200,000 ML practitioners across the world.
This repl will fine-tune a GPT2 model on Shakespeare using Andrej Karpathy's nanoGPT project
Sign up to Weights & Biases here to get started!
Recent comments (0)🖼️ Photo Prediction App with Weigths & Biases
Made with Python Data ScienceClick on "Open website" to view the app, it might take 1-2 minutes for the page to load. You should be able to see the app here
With this Photo Prediction App you can load a computer vision model into your repl.
Then a Gradio app will start where you can get predictions from it! ML on Replit has never been easier!
- Created with ❤️ by Weights & Biases
Recent comments (1)MorganMcGuire15 days agoHope you enjoy this demo repl, let us know what you think!