An example of a HTTP server that serves a "Hello World" message.
Build and run Cloudflare Workers, which can be published to the Cloudflare Global Network, or run directly from Replit using wrangler dev (no Cloudflare account required).
Convert EDI documents to JSON using stedi.com
Please follow the instructions in the video or readme document.
🌟 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::
Run some dummy logging to show the basics of logging to Weights & Biases
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!
Transcribe an audio file with Python and the AssemblyAI API. In order to run this, you need to set the API_KEY as secret.
An example project to deploy a computer vision model to the web using Roboflow and Replit.
This Replit creates an inference widget that you can use in your web browser with your webcam. Out-of-the-box, this Replit works with a model trained on Microsoft COCO. You can configure the code to work with your own dataset, too!
Want to experiment with building back-end logic with computer vision? Check out our Python Quickstart.