Machine Learning

Typically, Go is dealing with structured single sample data. Thus, we are focusing on tabular machine learning models only, such as popular XGBoost. It is common to run Go service in a backed form and on Linux platform, thus we do

Golang linear partition library

Sedna is an edge-cloud synergy AI project incubated in KubeEdge SIG AI. Benefiting from the edge-cloud synergy capabilities provided by KubeEdge, Sedna can implement across edge-cloud collaborative training and collaborative infer

Prophecis is a one-stop machine learning platform developed by WeBank. It integrates multiple open-source machine learning frameworks, has the multi tenant management capability of machine learning compute cluster, and provides fu

GoTorch reimplements PyTorch high-level APIs, including modules and functionals, in idiomatic Go. Thus enables deep learning programming in Go and Go+. This project is in its very early stage.

Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine.

spaGO is a beautiful and maintainable machine learning library written in Go designed to support relevant neural network architectures in natural language processing tasks

Overview Goro is a high-level machine learning library for Go built on Gorgonia. It aims to have the same feel as Keras. Usage import ( . "github.com/aunum/goro/pkg/v1/model" "github.com/aunum/

Overview Gold is a reinforcement learning library for Go. It provides a set of agents that can be used to solve challenges in various environments. The library further contains a composable tooling for creating age

Replacing Mobile Camera ISP with a Single Deep Learning Model 1. Overview [Paper] [PyTorch Implementation] [Project Webpage] This repository provides the implementation of the RAW-to-RGB mapping approac

Weaviate The GraphQL-based Search Graph Semantic Search engine Automatic Classification Knowledge Representation Documentation Documentation. Getting Started Guide. Sup

Flyte Flyte is an open source, K8s-native extensible orchestration engine that manages the core machine learning pipelines at Lyft: ETAs, pricing, incentives, mapping, vision, and more. Community Ho

gonet gonet is a Go module implementing multi-layer Neural Network. Install Install the module with: go get github.com/dathoangnd/gonet Import it in your project: import "github.com/dathoangnd/gon

Overview Vearch is a scalable distributed system for efficient similarity search of deep learning vectors. Architecture Data Model space, documents, vectors, scalars Components M

Goptuna Distributed hyperparameter optimization framework, inspired by Optuna. This library is particularly designed for machine learning, but everything will be able to optimize if you can define the objective func

💁‍♀ ️ Your new best friend Website — Chat online — Blog — Changelog — Getting started — Projects — Contributors — License Getting started Installation D

A chatbot framework written in Go. All configurations are made in YAML files, or inside scripts written in your favorite language.

go-tflite Go binding for TensorFlow Lite Usage model := tflite.NewModelFromFile("sin_model.tflite") if model == nil { log.Fatal("cannot load model") } defer model.Delete() options := tflite.NewInterpre

A High Performance Recommender System Package based on Collaborative Filtering for Go

Khalzam This library is very poorly designed and was written purely as proof-of-concept. I have rewritten it in Rust and the main development is going here. About Khalzam is a simple audio recognition librar

leaves Introduction leaves is a library implementing prediction code for GBRT (Gradient Boosting Regression Trees) models in pure Go. The goal of the project - make it possible to use models from popu

DeepSort 🧠 AI powered image tagger backed by DeepDetect Why? Because sometimes, you have folders full of badly named pictures, and you want to be able to understand what you have in your hard d

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

Pigo is a pure Go face detection library based on Pixel Intensity Comparison-based Object detection paper (https://arxiv.org/pdf/1305.4537.pdf). Rectangle face marker Circle face marker

sbr-go A recommender system package for Go. Sbr implements state-of-the-art sequence-based models, using the history of what a user has liked to suggest new items. As a result, it makes accurate predictions that can

Golang framework to build an AI that can understand and speak back to you, and everything else you want. WARNING: the code below doesn't handle errors for readability purposes, however you SHOULD! Demos Here's a li

goface Face detector/embeddings based on MTCNN, tensorflow and golang Implementation based on https://github.com/davidsandberg/facenet . Tensorflow (1.4.1) and the golang binding are required. Model file cmd/mtcnn.pb

Golang bindings for Mozilla's DeepSpeech speech-to-text library. As of now, astideepspeech is only compatible with version v0.6.0 of DeepSpeech. Installation Install DeepSpeech fetch an up-to-date nat

gopher-neural Quickstart See examples here: https://github.com/flezzfx/gopher-neural/tree/master/examples [Closed] Roadmap current version 1.0: https://github.com/flezzfx/gopher-neural/projects/1 Roa

Sentiment Server Web Server For Performing Sentiment Analysis Sentiment Server performs modular sentiment analysis as a drop-in, easy, open source solution. Getting responses is as easy as POST /analysis. T

wego is the implementations for word embedding (a.k.a word representation) models in Go. Word embedding makes word's meaning, structure, and concept mapping into vector space with low dimension. For representative instance:

tfgo: Tensorflow in Go Tensorflow's Go bindings are hard to use: tfgo makes it easy! No more problems like: Scoping: each new node will have a new and unique name Typing: attributes are automatically