deeplearn-rs
App Archived
Neural networks in Rust
- Downloads
- Not measured
- Dependents
- Not applicable
- Stars
- 210
- Forks
- 22
- Contributors
- 2
- Commits
- 78
Why Archived
GitHub reports the repository as archived.
Exact rules: Instant archive. The check on applied thresholds version 9.
Every rule outcome, as the check records it
instant-archive: repository is archived
About
Deep learning in Rust! This is my first shot at this. It's mostly just a proof of concept right now. The API will change.
Status
We have these models implemented (check out the examples folder):
- MNIST handwritten digit recognition
- char-rnn using LSTM
So far, we have the following layers implemented:
- Matrix multiply (fully connected)
- Add (for bias, for example)
- LSTM
- Softmax
- MSE loss
- Cross entropy loss
We have the following optimizers:
- SGD
- RMSProp
Road map
- More layer types (in the order that I'll probably get to them)
- Conv2d
- Pooling
- Dropout
- Allow datatypes other than
f32and implement casting between arrays of primitive numeric types. - Provide utilities for working with data
- images
- tsv and csv
- raw text data and word embeddings
Goals
We have a looong way to go :)
- Fast
- Easy to use
- Portable
- More control when you need it
- Easy to define custom layers
- Readable internal codebase
License
MIT
Compatibility
- License
- MIT
- Crate facts
- Not measured
- Runs on, Native code and Python bindings read crates on crates.io. This entry lists no crate.
Compare with similar projects
Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.
| Project | Downloads | Dependents | Stars | Latest release | Runs on (GPU) | Native code | License |
|---|---|---|---|---|---|---|---|
|
Neural networks in Rust |
Not measured | Not applicable | 210 | Not measured | Not measured | Not measured | MIT |
|
ruv-fann Listed
A pure Rust implementation of the Fast Artificial Neural Network (FANN) library Python bindings |
270 downloads over 30 days | 7 | 388 | 0.2.1 | CUDA, WebGPU | Binds native code: libsqlite3-sys, win-sys, torch-sys (feature neural-networks). Build uses a native toolchain: cc | Apache-2.0 OR MIT |
|
The neural network library implemented in Rust |
96 downloads over 30 days | 0 | 121 | 0.2.0 | GPU support unknown | No native code found | MIT |
|
rustyml Listed
Machine learning models, neural networks, metrics, and data utilities in Rust |
59 downloads over 30 days | 0 | 345 | 0.17.0 | GPU support unknown | No native code found | MIT |
|
Trains GPT-style language models from a YAML config and a tokenized dataset: dense GQA transformers, Mamba 1, 2 and 3, MLA and MoE layers on CPU or CUDA. Runs the training loop, optimizer, checkpoints, evaluation and metrics on boostr, and builds speech corpora through voxr. |
27 downloads over 30 days | Not applicable | 8 | 0.1.1 | CUDA | Binds native code: nvml-wrapper-sys (feature cuda) | Apache-2.0 |
|
Wrapper for the Fast Artificial Neural Networks library |
10 downloads over 30 days | 0 | 16 | 0.1.8 | GPU support unknown | Binds native code: fann-sys | LGPL-3.0 |
|
Tensors and dynamic neural networks. |
6 downloads over 30 days | 0 | 1,083 | 0.2.0 | GPU support unknown | No native code found | MPL-2.0 |
Measurements and sources
Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.
Sources4 sources
- Description: the GitHub repository description
- GitHub repository, fetched
- GitHub releases, fetched
- GitHub contributors, fetched
AdoptionNot measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Active dependents | Not measured | Yes | ||
| New dependents (365 days) | Not measured | Yes | ||
| Peak active dependents | Not measured | Yes | ||
| Active dependents as a share of the peak | Not measured | Yes | ||
| Binary downloads per release | Not measured | Yes |
MaintenanceLatest human commit: 9 years ago8 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Latest human commit | 2017-08-20 | GitHub repository | Yes | |
| Latest release | Not measured | Yes | ||
| First release | Not measured | Yes | ||
| Latest version | Not measured | Yes | ||
| Days the oldest outside issue waits for a reply | 3795 | GitHub repository | Yes | |
| Maintainer replies over 365 days | 0 | GitHub repository | Yes | |
| Repository archived | true | GitHub repository | Yes | |
| Repository gone | false | GitHub repository | Yes | |
| Release commit or manifest in the repo | Not measured | Yes | ||
| Published docs | Not measured | Yes | ||
| Latest release fails cargo check | Not measured | Yes | ||
| Build check date | Not measured | Yes | ||
| Build check toolchain | Not measured | Yes |
SecurityNot measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Unpatched vulnerabilities past the grace window | Not measured | Yes | ||
| RustSec unmaintained advisory | Not measured | Yes | ||
| Deprecation notice | Not measured | Yes | ||
| Deprecated requirement | Not measured | Yes |
Distribution0 binary downloads over the last 3 releases10 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Releases | Not measured | Yes | ||
| Downloads over 30 days | Not measured | Yes | ||
| Binary downloads over the last 3 releases | 0 | GitHub releases | Yes | |
| Homebrew installs on request over 365 days | Not measured | Yes | ||
| Repology repository families | Not measured | Yes | ||
| Docker pull growth over 90 days | Not measured | Yes | ||
| Docker pulls at the growth baseline | Not measured | Yes | ||
| Every version a prerelease | Not measured | Yes | ||
| Every version 0.0.x | Not measured | Yes | ||
| Every version yanked | Not measured | Yes | ||
| Crate deleted from crates.io | Not measured | Yes |
Repository210 stars, 22 forks, 2 contributors, 78 commits. Stars alone never qualify a project.1 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| GitHub stars | 210 | GitHub repository | Yes — one part of the repository route | |
| GitHub forks | 22 | GitHub repository | Yes — one part of the repository route | |
| Contributors with a GitHub account | 2 | GitHub contributors | Yes — one part of the repository route | |
| Commits on the default branch | 78 | GitHub repository | No | |
| Repository's main crate left out of the entry | Not measured | Yes |
Facts that never count
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| License | MIT | GitHub repository | No | |
| Runs on, from listed crates and their direct dependencies | Not measured | No | ||
| What shows each backend | Not measured | No | ||
| Native code, from listed crates and their dependencies | Not measured | No | ||
| Python bindings, from direct dependencies of listed crates | Not measured | No | ||
| Crates that depend on a listed crate directly | Not measured | No |
Corrections and review history
No correction applies to this entry.
Judgments
A judgment enters only through an approved issue and a merged pull request.
No judgment applies to this entry.