65 Repositories
Rust linear-models Libraries
A Rust LLaMA project to load, serve and extend LLM models
OpenLLaMA Overview A Rust LLaMA project to load, serve and extend LLM models. Key Objectives Support both GGML and HF(HuggingFace) models Support a st
A Rust library integrated with ONNXRuntime, providing a collection of ML models.
usls A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models including YOLOv8, YOLOv9, RTDETR,
Putting a brain behind `cat`🐈⬛ Integrating language models in the Unix commands ecosystem through text streams.
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
Terminal UI to chat with large language models (LLM) using different model backends, and integrations with your favourite editors!
Oatmeal Terminal UI to chat with large language models (LLM) using different model backends, and integrations with your favourite editors! Overview In
CloudLLM is a Rust library designed to seamlessly bridge applications with remote Language Learning Models (LLMs) across various platforms.
CloudLLM CloudLLM is a Rust library designed to seamlessly bridge applications with remote Language Learning Models (LLMs) across various platforms. W
Tutorial for Porting PyTorch Transformer Models to Candle (Rust)
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
Putting the 1992 Putnam Test question A-6 into code.
Problem If you choose 4 points on a sphere and consider the tetrahedron with these points as it's vertices, what is the probability that the center of
A perfect smoother; A discrete time version of spline smoothing for equally spaced data
Whittaker Smoother Aka Whittaker-Henderson, Whittaker-Eilers Smoother is known as the perfect smoother. Its a discrete-time version of spline smoothin
Simple OpenAI CLI wrapper written in Rust, feat. configurable prompts and models
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
Solving context limits when working with AI LLM models by implementing a "chunkable" attribute on your prompt structs.
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
Simple rust interface to get derived analytical information of algorithmic market making models (M3).
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
🦀Rust + Large Language Models - Make AI Services Freely and Easily. Inspired by LangChain
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.
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
Build Abstract Syntax Trees and tree-walking models quickly in Rust.
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 is an experimental project that aims to automatically generate Rust code with LLM (Large Language Models) during compilation, utilizing procedural macros.
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
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.
Believe in AI democratization. llama for nodejs backed by llama-rs, work locally on your laptop CPU. support llama/alpaca model.
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` is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks
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
Linear algebra crate for Rust.
cayley - generic, stack-allocated linear algebra in Rust cayley is a crate that fills a small niche: it provides a generic matrix type that allocates
Build neural network models in Cairo 1.0
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
Tight Model format is a lossy 3D model format focused on reducing file size as much as posible without decreasing visual quality of the viewed model or read speeds.
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
Core Fiberplane data models and methods for transforming them (templates, providers, markdown conversion)
fiberplane This repository is a monorepo for Rust code that is used throughout Fiberplane's product. Overview base64uuid - A utility for working with
A Rust-powered linear programming library for Python.
Dantzig: A Rust-powered LP library for Python Dantzig is a lightweight and concise linear programming solver suitable for small and large-scale proble
Python+Rust implementation of the Probabilistic Principal Component Analysis model
Probabilistic Principal Component Analysis (PPCA) model This project implements a PPCA model implemented in Rust for Python using pyO3 and maturin. In
pyke Diffusers is a modular Rust library for optimized Stable Diffusion inference 🔮
pyke Diffusers is a modular Rust library for pretrained diffusion model inference to generate images, videos, or audio, using ONNX Runtime as a backen
Rust API to run predictions with YoloV5 models.
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
A tray application for Windows that gives you push notifications and instant downloads of new posts, messages and stories posted by models you subscribe to on Onlyfans.
OF-notifier A tray application for Windows that gives you push notifications and instant downloads of new posts, messages and stories posted by models
command line tools for coprolite research (paleontology and archaeology): estimate the producer's body mass based on coprolite diameter by the use of regression models
OVERVIEW OF COPROSIZE coprosize employs power, exponential and cubic regression models allowing to estimate the producer's body mass based on coprolit
Simple RESTful API in rust created with actix-web. (Routing, models, JWT auth).
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
m2cgen (Model 2 Code Generator) - is a lightweight library which provides an easy way to transpile trained statistical models into a native code
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 is a tool to unwrap 3D models.
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
A rust library built to support building time-series based projection models
TimeSeries TimeSeries is a framework for building analytical models in Rust that have a time dimension. Inspiration The inspiration for writing this i
A neural network model that can approximate any non-linear function by using the random search algorithm for the optimization of the loss function.
random_search A neural network model that can approximate any non-linear function by using the random search algorithm for the optimization of the los
A linear algebra library with excellent type safety
Static L.A. (Linear Algebra) A fast minimal ultra type safe linear algebra library. While ndarray offers no compile time type checking on dimensionali
Static Linear Algebra System
SLAS Static Linear Algebra System Provides statically allocated vector, matrix and tensor types, for interfacing with blas/blis, in a performant manor
Szalinski: A Tool for Synthesizing Structured CAD Models with Equality Saturation and Inverse Transformations
Szalinski: A Tool for Synthesizing Structured CAD Models with Equality Saturation and Inverse Transformations
A simple and fast linear algebra library for games and graphics
glam A simple and fast 3D math library for games and graphics. Development status glam is in beta stage. Base functionality has been implemented and t
Utility library for some Lenovo IdeaPad laptops. Supports IdeaPad Intel and AMD Models (15IIL05 and 15ARE05)
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
A linear algebra library written in Rust
rulinalg This library is no longer actively maintained The crate is currently on version 0.4.2. Read the API Documentation to learn more. Summary Ruli
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better This repository contains code to deduplicate language model datasets as descrbed in the paper
Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
SyntaxDot Introduction SyntaxDot is a sequence labeler and dependency parser using Transformer networks. SyntaxDot models can be trained from scratch
A machine learning library for supervised training of parametrized models
Vikos Vikos is a library for supervised training of parameterized, regression, and classification models Design Goals Model representations, cost func
A naive (read: slow) implementation of Word2Vec. Uses BLAS behind the scenes for speed.
SloWord2Vec This is a naive implementation of Word2Vec implemented in Rust. The goal is to learn the basic principles and formulas behind Word2Vec. BT
Rust language bindings for the LIBLINEAR C/C++ library.
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
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 fast, searchable, knowledge engine using various machine learning models to aggregate based on importance, association and relevance
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
An example of using TensorFlow rust bindings to serve trained machine learning models via Actix Web
Serving TensorFlow with Actix-Web This repository gives an example of training a machine learning model using TensorFlow2.0 Keras in python, exporting
Tangram - makes it easy for programmers to train, deploy, and monitor machine learning models.
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
A VtubeStudio plugin that allows iFacialMocap to stream data to the app, enabling full apple ARkit facial tracking to be used for 2D Vtuber models.
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
A high-performance renderer to render glTF models that use the `KHR_materials_transmission` and `KHR_materials_volume` extensions.
This is a high-performance renderer designed among other things to render glTF models that use the KHR_materials_transmission and KHR_materials_volume
Proof of concept for a web API that can export 3MF files from parametric OpenSCAD models
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
High performance distributed framework for training deep learning recommendation models based on PyTorch.
PERSIA (Parallel rEcommendation tRaining System with hybrId Acceleration) is developed by AI platform@Kuaishou Technology, collaborating with ETH. It
A linear algebra and mathematics library for computer graphics.
cgmath-rs A linear algebra and mathematics library for computer graphics. The library provides: vectors: Vector2, Vector3, Vector4 square matrices: Ma
sparse linear algebra library for rust
sprs, sparse matrices for Rust sprs implements some sparse matrix data structures and linear algebra algorithms in pure Rust. The API is a work in pro
Fast conversion between linear float and 8-bit sRGB
fast-srgb8 Small crate implementing fast conversion between linear float and 8-bit sRGB. Includes API for performing 4 simultaneous conversions, which
Non-Linear Ray Casting
linon Non-Linear Ray Casting References E. Gröller, “Nonlinear Ray Tracing: Visualizing Strange Worlds,” The Visual Computer, vol. 11, no. 5, pp. 263–
Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigram (SentencePiece) models
rust-tokenizers Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigra
Semantic text segmentation. For sentence boundary detection, compound splitting and more.
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 native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
rust-bert Rust native Transformer-based models implementation. Port of Hugging Face's Transformers library, using the tch-rs crate and pre-processing
🦀 Example of serving deep learning models in Rust with batched prediction
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
Rust numeric library with R, MATLAB & Python syntax
Peroxide Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python like macros. W
Linear Programming for Rust, with an user-friendly API. This crate allows modeling LP problems, and let's you solve them with various solvers.
good_lp A Linear Programming modeler that is easy to use, performant with large problems, and well-typed. use good_lp::{variables, variable, coin_cbc,
An implementation of regular expressions for Rust. This implementation uses finite automata and guarantees linear time matching on all inputs.
regex A Rust library for parsing, compiling, and executing regular expressions. Its syntax is similar to Perl-style regular expressions, but lacks a f
Wrappers for LAPACK (Fortran)
LAPACK The package provides wrappers for LAPACK (Fortran). Architecture Example use lapack::*; let n = 3; let mut a = vec![3.0, 1.0, 1.0, 1.0, 3.0, 1
Wrappers for BLAS (Fortran)
BLAS The package provides wrappers for BLAS (Fortran). Architecture Example use blas::*; let (m, n, k) = (2, 4, 3); let a = vec![ 1.0, 4.0, 2