python-machine-learning-book VS poniard

Compare python-machine-learning-book vs poniard and see what are their differences.

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python-machine-learning-book poniard
2 2
12,076 145
- -
0.0 0.0
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
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.

python-machine-learning-book

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

poniard

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

What are some alternatives?

When comparing python-machine-learning-book and poniard you can also consider the following projects:

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

Neural-Network-Steganography - Hide some secret ๐Ÿ˜Ž data in a Neural Network - text, malicious software or watermark your NN

ML-Workspace - ๐Ÿ›  All-in-one web-based IDE specialized for machine learning and data science.

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights

machine_learning_basics - Plain python implementations of basic machine learning algorithms

code - Compilation of R and Python programming codes on the Data Professor YouTube channel.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

PythonNumericalDemos - Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.