machine.academy VS ML-From-Scratch

Compare machine.academy vs ML-From-Scratch 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)
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machine.academy ML-From-Scratch
1 3
11 23,189
- -
7.6 0.0
5 months ago 7 months ago
C# Python
GNU General Public License v3.0 only 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.

machine.academy

Posts with mentions or reviews of machine.academy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-04.
  • Neural Network from Scratch
    6 projects | news.ycombinator.com | 4 Jan 2022
    Nice! I made a gpu accelerated backpropagation lib a while ago to learn about NNs, if you are interested check it out here: https://github.com/zbendefy/machine.academy

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.

What are some alternatives?

When comparing machine.academy and ML-From-Scratch 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

GazeTracker - Artificial intelligence tracker for OpenTrack

pm4py-core - Public repository for the PM4Py (Process Mining for Python) project.

Numerical-Realization - An English-based natural language generator for numerical inputs.

NNfSiX - Neural Networks from Scratch in various programming languages

deepnet - Educational deep learning library in plain Numpy.

SoftGround - High performance runtime collider deformation in Unity

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

Numerical-Realization - An English-based natural language generator for numerical inputs.

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