deepnet
Educational deep learning library in plain Numpy. (by parasdahal)
MachineLearning
From linear regression towards neural networks... (by aromanro)
deepnet | MachineLearning | |
---|---|---|
1 | 6 | |
319 | 17 | |
- | - | |
0.0 | 8.4 | |
almost 2 years ago | 3 months ago | |
Python | C++ | |
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.
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.
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.
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Neural Network from Scratch
For those interested in simple neural networks to CNN and RNNs implemented with just Numpy (including backprop):
https://github.com/parasdahal/deepnet
MachineLearning
Posts with mentions or reviews of MachineLearning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-01.
-
Get gradient of Softmax activation
Softmax is at the end of this source file: https://github.com/aromanro/MachineLearning/blob/master/MachineLearning/MachineLearning/ActivationFunctions.h
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C++ Show and Tell - June 2023
Continuing extending the machine learning project: https://github.com/aromanro/MachineLearning With dropout I managed to go over 99% accuracy on digits from the EMNIST dataset, currently I'm thinking of adding batch normalization and then adding convolutional networks.
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How to learn Linear Regression
I have a project on GitHub on this: https://github.com/aromanro/MachineLearning
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C++ Show and Tell - May 2023
A project going up from simple linear regression to neural networks (multilayer perceptron for now, applied on xor, the iris dataset and EMNIST dataset): https://github.com/aromanro/MachineLearning
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Trying to create a C neural network.
I implemented a multilayer perceptron in C++ (using Eigen for matrix computations): https://github.com/aromanro/MachineLearning
- Invata cum functioneaza Chat GPT si retelele neuronale
What are some alternatives?
When comparing deepnet and MachineLearning 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
TurboGE - A simple OpenGL game engine written in C++ with Python scripting