Rust Approximate-bayesian-inference Resources

drivel drivel is a command-line tool written in Rust for inferring a schema from an example JSON (or JSON lines) file, and generating synthetic data (

candle-vllm Efficient platform for inference and serving local LLMs including an OpenAI compatible API server. Features OpenAI compatible API server p

llama2-rs LLaMA2 port for Rust inspired by llama2.c. TODOs: Implement loading of the model Implement forward pass Implement generation Implement token

ic-mnist The frontend provides a canvas where users can draw a digit. The drawn digit is then sent to the backend canister running burn-rs for inferen

Bayesian Probability Calculator CLI Welcome to the Bayesian Probability Calculator CLI! This command-line tool is designed to help you update your bel

LLaMa 7b in rust This repo contains the popular LLaMa 7b language model, fully implemented in the rust programming language! Uses dfdx tensors and CUD

LLaMA-rs Do the LLaMA thing, but now in Rust 🦀 🚀 🦙 Image by @darthdeus, using Stable Diffusion LLaMA-rs is a Rust port of the llama.cpp project. Th

RLLaMA RLLaMA is a pure Rust implementation of LLaMA large language model inference.. Supported features Uses either f16 and f32 weights. LLaMA-7B, LL

LLaMA-rs Do the LLaMA thing, but now in Rust 🦀 🚀 🦙 Image by @darthdeus, using Stable Diffusion LLaMA-rs is a Rust port of the llama.cpp project. Th

small_knn This library is an approximate K-nearest neighbor search based on Hierarchical Navigable Small World (https://arxiv.org/pdf/1603.09320.pdf).

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

OpenTau: Using OpenAI Codex for Gradual Type Inference Current implementation is focused on TypeScript Python implementation comes next Requirements r

Fareast This library is a rust port of spotify/annoy , currently only index serving is supported. It also provides FFI bindings for jvm, dotnet and da

Glide A programming language. Currently, this includes: Static typing Generics, with monomorphization Type inference on function calls func identityT

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

Rust-port of spotify/annoy as a wrapper for Approximate Nearest Neighbors in C++/Python optimized for memory usage.

Wonnx is a GPU-accelerated ONNX inference run-time written 100% in Rust, ready for the web. Supported Platforms (enabled by wgpu) API Windows Linux &

Quantogram - Approximate Quantile calculation using Histograms A library for Estimating Online Quantiles of Streams Quantogram accepts a stream of flo

Vinilla Lang Vanilla is a pure functional programming language based on System F, a classic but powerful type system. Merits Simple as it is, Vanilla

ngt-rs   Rust wrappers for NGT, which provides high-speed approximate nearest neighbor searches against a large volume of data. Note that NGT will be

bayespam A simple bayesian spam classifier. About Bayespam is inspired by Naive Bayes classifiers, a popular statistical technique of e-mail filtering

appr_dbscan_rust Rust implementation of the approximate version of DBSCAN introduced by Gan and Tao in this paper Notice An upated version of this lib

rust-ann-search-example Image search example by approximate nearest-neighbor library In Rust use - tensorflow 0.17.0 - pretrain ResNet50 - hora (Ru

ukkonen Implementation of a bounded Levenshtein distance by Esko Ukkonen in "Algorithms for approximate string matching" in Rust, with Python bindings

Typed ERLC The Problem I have a dream, that one day there will be an Erlang compiler, which will generate high quality type-correct code from deduced

hora-wasm [Homepage] [Document] [Examples] [Hora] Javascript bidding for the Hora Approximate Nearest Neighbor Search, in WebAssembly way. Features Pe

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

Vector Similarity Search Engine with extended filtering support Qdrant (read: quadrant ) is a vector similarity search engine. It provides a productio

granne* granne (graph-based retrieval of approximate nearest neighbors) is a Rust library for approximate nearest neighbor search based on Hierarchica

hnsw Hierarchical Navigable Small World Graph for fast ANN search Enable the serde feature to serialize and deserialize HNSW. Tips A good default for

Sonos' Neural Network inference engine. This project used to be called tfdeploy, or Tensorflow-deploy-rust. What ? tract is a Neural Network inference

Orkhon: ML Inference Framework and Server Runtime Latest Release License Build Status Downloads Gitter What is it? Orkhon is Rust framework for Machin

Fast approximate nearest neighbor searching in Rust, based on HNSW index

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

Orkhon: ML Inference Framework and Server Runtime Latest Release License Build Status Downloads Gitter What is it? Orkhon is Rust framework for Machin

Sonos' Neural Network inference engine. This project used to be called tfdeploy, or Tensorflow-deploy-rust. What ? tract is a Neural Network inference

gluon Gluon is a small, statically-typed, functional programming language designed for application embedding. Features Statically-typed - Static typin