Data Science Daily Newsletter - September 17, 2020

Here are three links you should check out today:

  1. [Library] Convert plain English in Python code in Jupyter: Generate pandas & plotting commands from plain English using jupyter-text2code, an open-source library that leverages state-of-the-art NLP models. Read the launch blog post for implementation details.


  1. [Course] Computational Thinking in Julia: Learn numerical computing, data analysis and machine learning using the Julia programming language, with this ongoing MIT course. Follow along with executable Pluto notebooks.


  1. [Blog] Generating artworks with GANs: A simple and practical introduction to Generative Adversarial Networks in PyTorch by training a model that generates artworks. The code is available as an executable Jupyter notebook.

We’d love to hear from you - just reply on this thread.

  • Working on a course or a project? Let us know.
  • Came across an interesting article or tutorial? Share it here.
  • Are you stuck with something? Ask a question.

Want to get this daily newsletter in your email inbox? Just click the bell icon and select “Watching First Post” on the newsletter homepage.

1 Like

Good Reads. Thanks for sharing Aakash.

RuntimeError: CUDA out of memory. Tried to allocate 460.00 MiB (GPU 0; 15.90 GiB total capacity; 14.40 GiB already allocated; 217.88 MiB free; 15.02 GiB reserved in total by PyTorch)

i got this error.please help me

Please restart the kernel and use a smaller batch size.

1 Like