py2hs VS taxonomy-of-concepts-for-AI

Compare py2hs vs taxonomy-of-concepts-for-AI and see what are their differences.

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py2hs taxonomy-of-concepts-for-AI
2 2
37 3
- -
3.0 10.0
about 1 year ago about 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

py2hs

Posts with mentions or reviews of py2hs. We have used some of these posts to build our list of alternatives and similar projects.
  • [py2hs] - An informative repository for Python developers who are learning Haskell
    1 project | /r/CardanoDevelopers | 14 Nov 2021
    As a practice and a form of learning reinforcement, I created a project, py2hs, to document how some frequently used programming patterns (e.g. functor, applicative) are implemented in Python and Haskell respectively. If you are a Python developer who just started learning Haskell, hope you can find this material helpful in some way.
  • Can I use python to build apps/sites on the Cardano network?
    1 project | /r/cardano | 8 Apr 2021
    I am a python developer, who recently started learning Haskell. To reinforce my knowledge, I created a gihub repo to document the similarities and differences I found between python and Haskell. Hope it helps for some python developers who are interested in leaning Haskell and building apps on Cardano. https://github.com/cffls/py2hs

taxonomy-of-concepts-for-AI

Posts with mentions or reviews of taxonomy-of-concepts-for-AI. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing py2hs and taxonomy-of-concepts-for-AI you can also consider the following projects:

lambda-calculus-interpreter

texta - Terminology EXtraction and Text Analytics (TEXTA) Toolkit

stylish-haskell - Haskell code prettifier [Moved to: https://github.com/haskell/stylish-haskell]

learn - Neuro-symbolic interpretation learning (mostly just language-learning, for now)

modsysML - Model management toolkit for continuous model improvement. Evaluate and compare LLM outputs, test quality, catch regressions and automate.

icortex - A no-code development framework—Let AI do the coding for you 🦾