python-constraint VS safety-gymnasium

Compare python-constraint vs safety-gymnasium and see what are their differences.

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python-constraint safety-gymnasium
3 1
402 315
2.2% 11.4%
8.6 6.0
4 months ago 4 days ago
Python Python
BSD 2-clause "Simplified" License Apache License 2.0
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.

python-constraint

Posts with mentions or reviews of python-constraint. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-12.

safety-gymnasium

Posts with mentions or reviews of safety-gymnasium. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing python-constraint and safety-gymnasium you can also consider the following projects:

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

awesome-safety-critical - List of resources about programming practices for writing safety-critical software.

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

safe-rlhf - Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

ordered - Entropy-controlled contexts in Python