ML-From-Scratch VS deepnet

Compare ML-From-Scratch vs deepnet 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)
Machine Learning Deep Learning deep-reinforcement-learning machine-learning-from-scratch Data Science Data Mining genetic-algorithm
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deepnet

Educational deep learning library in plain Numpy. (by parasdahal)
Cnn dropout batch-normalization adagrad adam-optimizer nesterov-accelerated-sgd
Source Code
deepnotes.io
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ML-From-Scratch deepnet
3 1
23,260 319
- -
0.0 0.0
7 months ago almost 2 years ago
Python Python
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.
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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.

deepnet

Posts with mentions or reviews of deepnet. 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 ML-From-Scratch and deepnet 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

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

NNfSiX - Neural Networks from Scratch in various programming languages

RAdam - On the Variance of the Adaptive Learning Rate and Beyond

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

MachineLearning - From linear regression towards neural networks...

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

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

ML-From-Scratch vs micrograd deepnet vs micrograd ML-From-Scratch vs pm4py-core deepnet vs NNfSiX ML-From-Scratch vs NNfSiX deepnet vs RAdam ML-From-Scratch vs deeplearning-notes deepnet vs MachineLearning ML-From-Scratch vs machine.academy deepnet vs machine.academy ML-From-Scratch vs pyod deepnet vs deeplearning-notes