deepnet
Educational deep learning library in plain Numpy. (by parasdahal)
machine.academy
Neural Network training library in C++ and C# with GPU acceleration (by zbendefy)
| deepnet | machine.academy | |
|---|---|---|
| 1 | 1 | |
| 319 | 11 | |
| - | - | |
| 0.0 | 7.6 | |
| almost 2 years ago | 5 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.
-
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
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
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
What are some alternatives?
When comparing deepnet and machine.academy 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
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.
NNfSiX - Neural Networks from Scratch in various programming languages
GazeTracker - Artificial intelligence tracker for OpenTrack
RAdam - On the Variance of the Adaptive Learning Rate and Beyond
Numerical-Realization - An English-based natural language generator for numerical inputs.