neurotic
The compile-time feedforward neural network library that no one asked for (by polendri)
dumbnet
a no_std neural network (by djugei)
| neurotic | dumbnet | |
|---|---|---|
| 1 | 1 | |
| 1 | 23 | |
| - | - | |
| 0.0 | 0.0 | |
| about 6 years ago | over 4 years ago | |
| Rust | Rust | |
| Do What The F*ck You Want To Public 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.
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.
neurotic
Posts with mentions or reviews of neurotic.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-07.
-
Using const generics to build neural networks
I too did something similar pre const generics, using nalgebra for the compile-time data type sizes. There are dozens of us... dozens!
dumbnet
Posts with mentions or reviews of dumbnet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-07.
-
Using const generics to build neural networks
this looks a lot like what i did with dumbnet (docs), only that back then const generics were not available and i had to use typenum.
What are some alternatives?
When comparing neurotic and dumbnet you can also consider the following projects:
gamma - Computational graphs with reverse automatic differentation in the GPU
NetCompression - Proof of concept of running a sparse network bare metal on a 2$ riscv CPU, using a custom network compiler.