ML-From-Scratch VS pm4py-core

Compare ML-From-Scratch vs pm4py-core and see what are their differences.

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. (by eriklindernoren)

pm4py-core

Public repository for the PM4Py (Process Mining for Python) project. (by pm4py)
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ML-From-Scratch pm4py-core
3 2
23,260 661
- 4.8%
0.0 9.8
7 months ago 7 days ago
Python Python
MIT License GNU General Public License v3.0 only
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.

ML-From-Scratch

Posts with mentions or reviews of ML-From-Scratch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-04.

pm4py-core

Posts with mentions or reviews of pm4py-core. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-01.
  • Process Analytics - January 2023 News
    4 projects | dev.to | 1 Feb 2023
    It's a new year 🎊 and what better way to kick off 2023 than with some Process Analytics news! January brought us exciting developments in the world of bpmn-visualization and pm4py integration πŸ”—. With our team working hard to connect the dots, we’re making bpmn-visualization more accessible and easier to integrate with the Process Mining ecosystem.
  • How to rewrite Python library into C#?
    1 project | /r/learnprogramming | 23 Mar 2022
    I have to rewrite Python's library PM4PY into C#. In fact, not whole library but only "apply" method from /pm4py/algo/discovery/alpha/algorithm.py (https://github.com/pm4py/pm4py-core/blob/release/pm4py/algo/discovery/alpha/algorithm.py).

What are some alternatives?

When comparing ML-From-Scratch and pm4py-core you can also consider the following projects:

micrograd - A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

nfstream - NFStream: a Flexible Network Data Analysis Framework.

NNfSiX - Neural Networks from Scratch in various programming languages

bpmn-visualization-R - A R package for visualizing process execution data on BPMN diagrams

deepnet - Educational deep learning library in plain Numpy.

bpmn-visualization-pm4py - Example of integration between bpmn-visualization and pm4py

deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.

gensim - Topic Modelling for Humans

machine.academy - Neural Network training library in C++ and C# with GPU acceleration

bpmn-visualization-js - A TypeScript library for visualizing process execution data on BPMN diagrams

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)