Jump into building AI applications with CambioML. This repository contains examples to help you kickstart your AI journey with CambioML.

These are built using CambioML's open-source libraries, including pykoi and uniflow.

This repository is a work in progress. We will be adding more examples and tutorials in the coming weeks.

These examples dive right into the code with little introduction, so you can get your hands dirty quickly. We recommend you read the documentation or the tutorials section to get a better understanding of the concepts and libraries used in these examples.

These tutorials are designed to help you get started with CambioML. They are written in a step-by-step fashion, and are accompanied by code snippets and explanations.

To start cooking with CambioML, you can install pykoi and uniflow using pip in a conda environment.

First, create a conda environment on your terminal using:

conda create -n cambio-cookbook python=3.10 -y
conda activate cambio-cookbook  # some OS requires `source activate uniflow`

Then, install pykoi and uniflow:

pip3 install pykoi uniflow

Finally, install the compatible pytorch based on your OS.

• If you are on a GPU, install pytorch based on your cuda version. You can find your CUDA version via nvcc -V.

  pip3 install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu121  # cu121 means cuda 12.1
  

• If you are on a CPU instance,

  pip3 install torch
  

Now, when you go to run the example notebooks, make sure to use the cambio-cookbook conda environment when selecting your kernel.

Congrats you have finished the installation!

If you are running anything using OpenAI flows, you will have to set up your OpenAI API key.

To do so, create a .env file in your root cambio-cookbook folder. Then add the following line to the .env file:

OPENAI_API_KEY=YOUR_API_KEY