Made With ML

Repositories

• e2e-ml-app-pytorch

  🚀 An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku → https://e2e-ml-app-pytorch.herokuapp.com/ (may take few minutes to spin up occasionally).

  heroku machine-learning deep-learning pytorch fast-api streamlit weights-and-biases
  Jupyter Notebook MIT 7 40 0 1 Updated Jul 29, 2020

• e2e-ml-app-tensorflow

  🚀 An end-to-end ML applications using TensorFlow 2.0 + Keras, W&B, FastAPI, Docker, Streamlit and Heroku → https://e2e-ml-app-tensorflow.herokuapp.com/ (may take few minutes to spin up occasionally).
  Jupyter Notebook MIT 1 21 0 1 Updated Jul 29, 2020

• boilerplate

  🍪 ML application template to create API services around your ML code.

  api machine-learning cookiecutter
  Python MIT 14 83 0 1 Updated Jul 29, 2020

• basics

  📚 Learn ML with clean code, simplified math and illustrative visuals.

  python machine-learning deep-learning tensorflow keras pytorch
  Jupyter Notebook MIT 4,453 24,666 0 0 Updated Jul 3, 2020

• images

  🖼️ Images for practicalAI lessons
  2 10 0 0 Updated May 15, 2020

• utterances

  💬 Project comments for Made With ML
  1 2 167 0 Updated Feb 24, 2020