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Rust bindings for TensorFlow Lite This crates provides TensorFlow Lite APIs. Please read the API documentation on docs.rs Using the interpreter from a

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

rust-dl-webserver This project provides an example of serving a deep learning model with batched prediction using Rust. In particular it runs a GPT2 m

PROPHET - Neural Network Library Linux Windows Codecov Coveralls Docs Crates.io A simple neural net implementation written in Rust with a focus on cac

revonet Rust implementation of real-coded genetic algorithm for solving optimization problems and training of neural networks. The latter is also know

fann-rs Rust wrapper for the Fast Artificial Neural Network (FANN) library. This crate provides a safe interface to FANN on top of the low-level bindi

Bindings for CNTK library Simple low level bindings for CNTK library from Microsoft. API Documentation Status Currently exploring ways how to interact

Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. Main features: Train new vocabularies and tok

rust-bert Rust native Transformer-based models implementation. Port of Hugging Face's Transformers library, using the tch-rs crate and pre-processing

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

Lindera A Japanese morphological analysis library in Rust. This project fork from fulmicoton's kuromoji-rs. Lindera aims to build a library which is e

NNSplit A tool to split text using a neural network. The main application is sentence boundary detection, but e. g. compound splitting for German is a

Snips NLU Rust Installation Add it to your Cargo.toml: [dependencies] snips-nlu-lib = { git = "https://github.com/snipsco/snips-nlu-rs", branch = "mas

nlprule A fast, low-resource Natural Language Processing and Error Correction library written in Rust. nlprule implements a rule- and lookup-based app

aho-corasick A library for finding occurrences of many patterns at once with SIMD acceleration in some cases. This library provides multiple pattern s

rs-natural Natural language processing library written in Rust. Still very much a work in progress. Basically an experiment, but hey maybe something c

Introduction finalfusion is a crate for reading, writing, and using embeddings in Rust. finalfusion primarily works with its own format which supports

rust-tokenizers Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigra

finalfrontier Introduction finalfrontier is a Rust program for training word embeddings. finalfrontier currently has the following features: Models: s

vtext NLP in Rust with Python bindings This package aims to provide a high performance toolkit for ingesting textual data for machine learning applica

dpar Introduction dpar is a neural network transition-based dependency parser. The original Go version can be found in the oldgo branch. Dependencies

Warning: sticker is succeeded by SyntaxDot, which supports many new features: Multi-task learning. Pretrained transformer models, suchs as BERT and XL

word2vec Rust interface to word2vec word vectors. This crate provides a way to read a trained word vector file from word2vec. It doesn't provide model

Rust SBert Rust port of sentence-transformers using rust-bert and tch-rs. Supports both rust-tokenizers and Hugging Face's tokenizers. Supported model

DeepFrog - NLP Suite Introduction DeepFrog aims to be a (partial) successor of the Dutch-NLP suite Frog. Whereas the various NLP modules in Frog wre b

lumberjack Read and process constituency trees in various formats. Install: From crates.io: cargo install lumberjack-utils From GitHub: cargo install

BlingFire in Rust blingfire is a thin Rust wrapper for the BlingFire tokenization library. Add the library to Cargo.toml to get started cargo add blin

RustBERTa-SNLI A Rust implementation of a RoBERTa classification model for the SNLI dataset, with support for fine-tuning, predicting, and serving. Th