237 Repositories
Rust stack-machine Libraries
Tangram is an automated machine learning framework designed for programmers.
Tangram Tangram is an automated machine learning framework designed for programmers. Run tangram train to train a model from a CSV file on the command
On-the-fly machine code executing from Deno
jit from js Execute raw machine code from JavaScript. I hope you know what you're doing :) const inst = new Uint8Array([0xC3]); // ret const noop = ji
Hitbox is an asynchronous caching framework supporting multiple backends and suitable for distributed and for single-machine applications.
Hitbox is an asynchronous caching framework supporting multiple backends and suitable for distributed and for single-machine applications.
An MVP stack based bytecode VM
TinyVM An MVP stack-based bytecode VM This VM runs a simplistic, Turing complete instruction set. In ~250 LOC with extensive comments, it's meant to b
Rust wrapper for the BlingFire tokenization library
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
A fast implementation of Aho-Corasick in Rust.
aho-corasick A library for finding occurrences of many patterns at once with SIMD acceleration in some cases. This library provides multiple pattern s
A fast, low-resource Natural Language Processing and Text Correction library written in Rust.
nlprule A fast, low-resource Natural Language Processing and Error Correction library written in Rust. nlprule implements a rule- and lookup-based app
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
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Fwumious Wabbit is a very fast machine learning tool built with Rust inspired by and partially compatible with Vowpal Wabbit (much love! read more abo
Machine Learning Library for Rust
autograph Machine Learning Library for Rust undergoing maintenance Features Portable accelerated compute Run SPIR-V shaders on GPU's that support Vulk
Rust based Cross-GPU Machine Learning
HAL : Hyper Adaptive Learning Rust based Cross-GPU Machine Learning. Why Rust? This project is for those that miss strongly typed compiled languages.
Machine learning in Rust.
Rustml Rustml is a library for doing machine learning in Rust. The documentation of the project with a descprition of the modules can be found here. F
Awesome deep learning crate
NeuroFlow is fast neural networks (deep learning) Rust crate. It relies on three pillars: speed, reliability, and speed again. Hello, everyone! Work o
A fast, safe and easy to use reinforcement learning framework in Rust.
RSRL (api) Reinforcement learning should be fast, safe and easy to use. Overview rsrl provides generic constructs for reinforcement learning (RL) expe
Orkhon: ML Inference Framework and Server Runtime
Orkhon: ML Inference Framework and Server Runtime Latest Release License Build Status Downloads Gitter What is it? Orkhon is Rust framework for Machin
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
Cleora Cleora is a genus of moths in the family Geometridae. Their scientific name derives from the Ancient Greek geo γῆ or γαῖα "the earth", and metr
The Hacker's Machine Learning Engine
Juice This is the workspace project for juice - machine learning frameworks for hackers coaster - underlying math abstraction coaster-nn coaster-blas
High-performance automatic differentiation of LLVM.
The Enzyme High-Performance Automatic Differentiator of LLVM Enzyme is a plugin that performs automatic differentiation (AD) of statically analyzable
Tensors and differentiable operations (like TensorFlow) in Rust
autograd Differentiable operations and tensors backed by ndarray. Motivation Machine learning is one of the field where Rust lagging behind other lang
Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.
xaynet Xaynet: Train on the Edge with Federated Learning Want a framework that supports federated learning on the edge, in desktop browsers, integrate
High-performance runtime for data analytics applications
Weld Documentation Weld is a language and runtime for improving the performance of data-intensive applications. It optimizes across libraries and func
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Open Deep Learning Compiler Stack Documentation | Contributors | Community | Release Notes Apache TVM is a compiler stack for deep learning systems. I
Rust implementation of Hyperswarm, a networking stack for connecting peers
hyperswarm-rs Peer to peer networking stack API Docs | Contributing NOTE: This is still in early stages. See the roadmap below. Please feel free to op
An inquiry into nondogmatic software development. An experiment showing double performance of the code running on JVM comparing to equivalent native C code.
java-2-times-faster-than-c An experiment showing double performance of the code running on JVM comparing to equivalent native C code ⚠️ The title of t
Wait, another virtual machine ?
WAVM WAVM, Wait, another virtual machine ?, is a register based 64 bits virtual machine written in Rust. It relies on 32 registers and 31 opcodes that
The Rust Implementation of libp2p networking stack.
Central repository for work on libp2p This repository is the central place for Rust development of the libp2p spec. Warning: While we are trying our b
a smol tcp/ip stack
smoltcp smoltcp is a standalone, event-driven TCP/IP stack that is designed for bare-metal, real-time systems. Its design goals are simplicity and rob
High-performance runtime for data analytics applications
Weld Documentation Weld is a language and runtime for improving the performance of data-intensive applications. It optimizes across libraries and func
Rust bindings for the C++ api of PyTorch.
tch-rs Rust bindings for the C++ api of PyTorch. The goal of the tch crate is to provide some thin wrappers around the C++ PyTorch api (a.k.a. libtorc
Machine learning crate for Rust
rustlearn A machine learning package for Rust. For full usage details, see the API documentation. Introduction This crate contains reasonably effectiv
Rust language bindings for TensorFlow
TensorFlow Rust provides idiomatic Rust language bindings for TensorFlow. Notice: This project is still under active development and not guaranteed to
Open Machine Intelligence Framework for Hackers. (GPU/CPU)
Leaf • Introduction Leaf is a open Machine Learning Framework for hackers to build classical, deep or hybrid machine learning applications. It was ins
Rust library for Self Organising Maps (SOM).
RusticSOM Rust library for Self Organising Maps (SOM). Using this Crate Add rusticsom as a dependency in Cargo.toml [dependencies] rusticsom = "1.1.0"
Machine Learning library for Rust
rusty-machine This library is no longer actively maintained. The crate is currently on version 0.5.4. Read the API Documentation to learn more. And he
A Rust machine learning framework.
Linfa linfa (Italian) / sap (English): The vital circulating fluid of a plant. linfa aims to provide a comprehensive toolkit to build Machine Learning
Secure and fast microVMs for serverless computing.
Our mission is to enable secure, multi-tenant, minimal-overhead execution of container and function workloads. Read more about the Firecracker Charter