Shell environment preloaded with Python natural language processing libraries and models for tokenization, classification, entity extraction and other text tasks. Built and maintained by WIEWAVE for Azure Marketplace, on Ubuntu and Debian.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | AI & Machine Learning |
| Operating systems | Ubuntu, Debian |
| Marketplaces | Azure Marketplace |
| Offer types | Public listing, with private offers on request |
| Marketplace | Status |
|---|---|
| Azure Marketplace | Published |
| AWS Marketplace | Available on request |
| Google Cloud Marketplace | Available on request |
Need it on another marketplace, or as a private offer for your organisation? cloud@wiewave.com
Each image follows its distribution's own provisioning model, package manager and security tooling — not one build relabelled several times.
LTS and interim releases, Minimal and Pro variants, built to Canonical's cloud-image conventions.
Stable and oldstable, with backports where a workload needs a newer runtime than the release ships.
The same four steps behind every offer we've published, including the hardening and CIS Benchmark checks every build goes through.
The distribution, licensing model and target marketplaces are agreed before anything is built.
Packer templates, Ansible provisioning and a pinned package set — then hardened, scanned and checked against the CIS Benchmark for its distribution.
Taken through each cloud's own certification pipeline before it goes live on the marketplace.
Rebuilt on the upstream security cadence and re-published, with old versions retired without breaking deployments.
If yours isn't here, ask our marketplace team directly.
GPU-ready training and inference images with drivers, CUDA and frameworks already matched to each other.
Python framework for building and simulating large-scale spiking neural network models of the brain, installed with its solvers and visualisation interface.
Experiment tracking and model registry client for machine learning teams, logging metrics, parameters, artifacts and hardware usage from training runs.
A viewer application for inspecting the architecture, layers and weights of neural network and machine learning model files.
An NVIDIA research framework that reconstructs detailed 3D surface models from RGB video using neural rendering techniques.
An open-source TensorFlow-based deep learning platform for building and deploying convolutional neural networks for medical image analysis.
A Python library providing tools and corpora for natural language processing tasks such as tokenization, tagging and parsing.
Tell us the distribution, the marketplace and the commercial model — we'll build, certify and publish it as a public listing or a private offer.
