prophet

Library Listed Dormant

A neural network implementation with a focus on cache-efficiency and sequential performance.

Checked · Sources

Downloads
87
Dependents
0
Stars
41
Forks
1
Contributors
1
Commits
151
Latest release
0.4.2 ·

About

From the project README ·

PROPHET - Neural Network Library

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A simple neural net implementation written in Rust with a focus on cache-efficiency and sequential performance.

Currently only supports supervised learning with fully connected layers.

How to use

The preferred way to receive prophet is via cargo or github.

Compile prophet with

cargo build

Run the test suite with

cargo test --release

Note: It is recommended to use --release for testing since optimizations are insanely effective for prophet.

For additional information while running some long tests use

cargo test --release --verbose -- --nocapture

Run performance test with

cargo bench --features benches

Planned Features

  • Convolutional Layers: Foundations have been layed out already!
  • GPGPU Support by Vulkano
  • Even more flexible learning methods

License

Licensed under either of

  • Apache License, Version 2.0, (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
  • MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.

Read the full README
Dual licence:

Release Notes (YYYY/MM/DD)

0.4.2 (2017/10/13)
  • Relicensed the library under the dual license model where the user can choose between MIT or APACHE version 2.0.
  • Improved performance of learning algorithms by up to 27%*. (*Tested on my local machine.)
  • Updated ndarray from 0.10.10 to 0.10.11 and itertools from 0.6.5 to 0.7.0.
  • Relaxed dependency version constraints for rand, num, log and ndarray.
  • Usability: Added a HOW TO USE section to the README.
  • Dev
    • Added some unit tests for NeuralNet components for improved stability and maintainability.
0.4.1 (2017/08/27)
  • Fixed long-standing undeterministic bug.
  • Reverted ChaChaRng usage in NeuralLayer::random - it is much faster and ChaChaRng's safety is not needed.
0.4.0 (2017/08/09)
  • Updated ndarray dependency version from 0.9 to 0.10
  • Updated serde dependency version from 0.9 to 1.0
  • Enabled serde feature by default.
  • NeuralLayer::random now uses ChaChaRng internally instead of weak_rng
  • Devel:
    • travisCI now using new trusty environment
    • travisCI now uploads code coverage to coveralls and codecov.io
    • travisCI no longer requires sudo
Runs on
GPU support unknown
What shows it
  • no dependency or feature matches a backend row
Native code
None found
  • No native code found
Python bindings
No Python binding crate found
License
Apache-2.0 OR MIT

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.

prophet beside the projects that share a topic with it
ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
prophet This page Listed Dormant

A neural network implementation with a focus on cache-efficiency and sequential performance.

87 downloads over 30 days 0 41 0.4.2 GPU support unknown No native code found Apache-2.0 OR 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
neuroflow Listed Dormant

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
rumus Listed

A native-Rust deep learning framework with explicit memory safety and hardware acceleration

52 downloads over 30 days 0 202 0.4.0 WebGPU No native code found Apache-2.0 OR MIT
oxidizr App Listed

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
rust-lstm Listed

A complete LSTM neural network library with training capabilities, multiple optimizers, and peephole variants.

15 downloads over 30 days 0 24 0.10.0 GPU support unknown No native code found MIT
Why ListedNo archive, New or Featured rule places it, so it is Listed.

What it lacks for Featured

  • It has 0 active dependents and 0 new dependents in 365 days. Featured needs 11 active dependents or 9 new dependents in 365 days. The repository route reads 41 stars, 1 fork and 1 contributor. It needs 4,539 stars, 434 forks and 79 contributors together.
  • The project is dormant and not finished. Dormancy rule

What else the check found

  • The last activity is on 25 May 2018, 3090 days ago. That reaches the 365 days the rules expect, so the project is dormant. Dormancy rule

Not measured: Latest release fails cargo check.

Check notes

  • the repo manifest Cargo.toml declares the crate, and no release commit proves the link

Exact rules: Listed, Featured library. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: version 0.4.2 base 300, raised to the 365-day floor: E = 365 days
  • dormancy: last activity 2018-05-25, 3090 days ago, E = 365: dormant
  • featured: not featured: active_users 0 < 11 and new_adopters 0 < 9 and repository route stars 41 (needs 4539), forks 1 (needs 434), contributors 1 (needs 79); dormant and not stable
  • listed: listed: no archive, new or featured rule applies

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.

Sources6 sources
Adoption0 active dependents, 0 new dependents in 365 days1 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependents0crates.io database dumpYes
New dependents (365 days)0crates.io database dumpYes
Peak active dependents0crates.io database dumpYes
Active dependents as a share of the peak1crates.io database dumpYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 8 years ago3 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2018-05-25GitHub repositoryYes
Latest release2017-10-12crates.io database dumpYes
First release2016-09-11crates.io database dumpYes
Latest version0.4.2crates.io database dumpYes
Days the oldest outside issue waits for a reply0GitHub repositoryYes
Maintainer replies over 365 days0GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repotruerepo manifestYes
Published docstruecrates.io database dumpYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityUnpatched vulnerabilities: none
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windownoneRustSec advisory databaseYes
RustSec unmaintained advisorynoneRustSec advisory databaseYes
Deprecation noticenonecrates.io database dumpYes
Deprecated requirementnonecrates.io database dumpYes
Distribution11 releases, 87 downloads over 30 days5 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases11crates.io database dumpYes
Downloads over 30 days87crates.io database dumpYes
Binary downloads over the last 3 releasesNot measuredYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleasefalsecrates.io database dumpYes
Every version 0.0.xfalsecrates.io database dumpYes
Every version yankedfalsecrates.io database dumpYes
Crate deleted from crates.iofalsecrates.io database dumpYes
Repository41 stars, 1 forks, 1 contributors, 151 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars41GitHub repositoryYes — one part of the repository route
GitHub forks1GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account1GitHub contributorsYes — one part of the repository route
Commits on the default branch151GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseApache-2.0 OR MITcrates.io database dumpNo
Runs on, from listed crates and their direct dependenciesGPU support unknowncrates.io database dumpNo
What shows each backendno dependency or feature matches a backend rowcrates.io database dumpNo
Native code, from listed crates and their dependenciesNo native code foundcrates.io database dumpNo
Python bindings, from direct dependencies of listed cratesNo Python binding crate foundcrates.io database dumpNo
Crates that depend on a listed crate directly0crates.io database dumpNo

Corrections and review history

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Judgments

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No judgment applies to this entry.