12 Repositories
Rust classification Libraries
Blazingly fast spam classification API built using Rocket Web Framework.
Telegram Antispam API Blazingly fast spam classification API built using Rocket Web Framework. Notes The classifier works in aggressive mode, it can s
Small program which groups images based on the GPS position.
gps-cluster This small program will take some pictures in input, and based on the metadata on every image, it will group them by their GPS position, i
Repository for CinPatent: Datasets for Patent Classification
CinPatent: Datasets for Patent Classification We release two datasets for patent classification in English and Japanese at Google Drive. The data fold
Rust bindings for darknet
Rust bindings for darknet Darknet: Convolutional Neural Networks todo rewrite the demo function used in yolo.c in rust Examples Link existing files an
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
Omikuji An efficient implementation of Partitioned Label Trees (Prabhu et al., 2018) and its variations for extreme multi-label classification, writte
A simple bayesian spam classifier written in Rust.
bayespam A simple bayesian spam classifier. About Bayespam is inspired by Naive Bayes classifiers, a popular statistical technique of e-mail filtering
A Rust library with homemade machine learning models to classify the MNIST dataset. Built in an attempt to get familiar with advanced Rust concepts.
mnist-classifier Ideas UPDATED: Finish CLI Flags Parallelize conputationally intensive functions Class-based naive bayes README Image parsing Confusio
A Rust๐ฆ implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
craftml-rs A Rust implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning (Siblini et al., 2018). Perf
๐ฆ A Rust implementation of a RoBERTa classification model for the SNLI dataset
RustBERTa-SNLI A Rust implementation of a RoBERTa classification model for the SNLI dataset, with support for fine-tuning, predicting, and serving. Th
๐ The most accurate natural language detection library in the Rust ecosystem, suitable for long and short text alike
Table of Contents What does this library do? Why does this library exist? Which languages are supported? How good is it? Why is it better than other l
Simple neural network library for classification written in Rust.
Cogent A note I continue working on GPU stuff, I've made some interesting things there, but ultimately it made me realise this is far too monumental a
Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/
Whatlang Natural language detection for Rust with focus on simplicity and performance. Content Features Get started Documentation Supported languages