Rust Pretrained-models Resources

usls A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models including YOLOv8, YOLOv9, RTDETR,

smartcat (sc) Puts a brain behind cat! CLI interface to bring language models in the Unix ecosystem and allow power users to make the most out of llms

Oatmeal Terminal UI to chat with large language models (LLM) using different model backends, and integrations with your favourite editors! Overview In

CloudLLM CloudLLM is a Rust library designed to seamlessly bridge applications with remote Language Learning Models (LLMs) across various platforms. W

Candle Tutorial - Convert Pytorch Models to Candle Candle is an ML framework written in rust that takes advantage of the speed and memory safety Rust

Quick Start git clone https://github.com/ryantinder/ask-rs cd ask cargo install --path . Example ask tell me about the Lockheed Martin SR71 The Loc

Promptize Promptize attempts to solve the issues with context limits when working with AI systems. It allows a user to add an attribute to their struc

af-rs Interact with the Portfolio protocol using Rust models to abstract the underlying pools. What we want: Given a uniswap pool with two tokens and

llmchain: Modern Data Transformations with LLM 🦀 + Large Language Models, inspired by LangChain. Features Models: LLMs & Chat Models & Embedding Mode

Multi-platform desktop app to download and run Large Language Models(LLM) locally in your computer 🔗 Download | Give it a Star ⭐ | Share it on Twitte

astmaker Build Abstract Syntax Trees and tree-walking models quickly in Rust. Example This example creates an AST for simple math expressions, and an

Auto Rust auto-rust is an experimental project that aims to automatically generate Rust code with LLM (Large Language Models) during compilation, util

Striving to create a great Application with full functions of learning languages by ChatGPT, TTS, STT and other awesome AI models, supports talking, speaking assessment, memorizing words with contexts, Listening test, so on.

llama-node Large Language Model LLaMA on node.js This project is in an early stage, the API for nodejs may change in the future, use it with caution.

llm-chain 🚀 llm-chain is a collection of Rust crates designed to help you work with Large Language Models (LLMs) more effectively. Our primary focus

Explore ML in Cairo 1.0 Build neural network models in Cairo 1.0 to perform inference. The calculations are performed using i33 values, and the outcom

What is Tight Model Format The main goal of the tmf project is to provide a way to save 3D game assets compressed in such a way, that there are no not

fiberplane This repository is a monorepo for Rust code that is used throughout Fiberplane's product. Overview base64uuid - A utility for working with

pyke Diffusers is a modular Rust library for pretrained diffusion model inference to generate images, videos, or audio, using ONNX Runtime as a backen

YoloV5-API [WIP] API to run inferences with YoloV5 models. Written in Rust, based on OpenCV 4.5.5 If you need a C++ version, check my C++ Yolov5-API R

OF-notifier A tray application for Windows that gives you push notifications and instant downloads of new posts, messages and stories posted by models

OVERVIEW OF COPROSIZE coprosize employs power, exponential and cubic regression models allowing to estimate the producer's body mass based on coprolit

rust-simple-api Simple RESTful API created with rust, actix-web, Diesel, JWT. Running application Manual Firstly generate a secret.key which will be u

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Papercraft Introduction Papercraft is a tool to unwrap paper 3D models, so that you can cut and glue them together and get a real world paper model. T

TimeSeries TimeSeries is a framework for building analytical models in Rust that have a time dimension. Inspiration The inspiration for writing this i

Szalinski: A Tool for Synthesizing Structured CAD Models with Equality Saturation and Inverse Transformations

ideapad A Rust utility library for some Lenovo IdeaPad specific functionality. A Fair Warning This crate calls raw ACPI methods, which on the best cas

Deduplicating Training Data Makes Language Models Better This repository contains code to deduplicate language model datasets as descrbed in the paper

SyntaxDot Introduction SyntaxDot is a sequence labeler and dependency parser using Transformer networks. SyntaxDot models can be trained from scratch

Vikos Vikos is a library for supervised training of parameterized, regression, and classification models Design Goals Model representations, cost func

liblinear-rs Rust bindings for the liblinear C/C++ library. Provides a thin (but rustic) wrapper around the original C-interface exposed by the librar

mnist-classifier Ideas UPDATED: Finish CLI Flags Parallelize conputationally intensive functions Class-based naive bayes README Image parsing Confusio

NewsAggregator We live in an era where both the demand and quantity of information are enormous. However, the way we store and access that information

Serving TensorFlow with Actix-Web This repository gives an example of training a machine learning model using TensorFlow2.0 Keras in python, exporting

Tangram is the all-in-one machine learning toolkit for programmers. Train a model from a CSV file on the command line. Make predictions from Elixir, G

facelink_rs A VtubeStudio plugin that allows iFacialMocap to stream data to the app, enabling full apple ARkit facial tracking to be used for 2D Vtube

This is a high-performance renderer designed among other things to render glTF models that use the KHR_materials_transmission and KHR_materials_volume

Model API About A proof of concept for a web API that can export 3MF files from a parametric OpenSCAD model. A typical use would be to have a form on

PERSIA (Parallel rEcommendation tRaining System with hybrId Acceleration) is developed by AI platform@Kuaishou Technology, collaborating with ETH. It

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

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

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

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