PDEBench VS best-of-ml-python

Compare PDEBench vs best-of-ml-python and see what are their differences.

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PDEBench best-of-ml-python
2 16
623 15,335
3.7% 0.7%
6.5 7.8
about 1 month ago 8 days ago
Python Python
GNU General Public License v3.0 or later Creative Commons Attribution Share Alike 4.0
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.

PDEBench

Posts with mentions or reviews of PDEBench. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-11.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

What are some alternatives?

When comparing PDEBench and best-of-ml-python you can also consider the following projects:

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

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

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]

dtale - Visualizer for pandas data structures

pdearena

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

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

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.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data