DeepAA VS best-of-ml-python

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

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DeepAA best-of-ml-python
5 16
1,491 15,364
- 0.9%
0.0 7.8
almost 3 years ago 4 days ago
Python Python
MIT License 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.

DeepAA

Posts with mentions or reviews of DeepAA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-07.

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 DeepAA and best-of-ml-python you can also consider the following projects:

textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

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

deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

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

spektral - Graph Neural Networks with Keras and Tensorflow 2.

dtale - Visualizer for pandas data structures

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

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

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

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

speechbrain - A PyTorch-based Speech Toolkit