FastNLP
FastNLP is a Python natural language processing toolkit providing modular components for building and training NLP models.
FastDeploy is a toolkit for deploying and serving trained deep learning models across CPUs and GPUs with optimised inference backends. Built and maintained by WIEWAVE for Azure Marketplace and AWS Marketplace, on Ubuntu and Debian.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | AI & Machine Learning |
| Operating systems | Ubuntu, Debian |
| Marketplaces | Azure Marketplace and AWS Marketplace |
| Offer types | Public listing, with private offers on request |
| Marketplace | Status |
|---|---|
| Azure Marketplace | Published |
| AWS Marketplace | Published |
| 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.
FastNLP is a Python natural language processing toolkit providing modular components for building and training NLP models.
fastText is a library from Facebook AI Research for efficient learning of word embeddings and fast text classification.
Flair is a Python natural language processing framework built on PyTorch that provides pretrained models for named entity recognition and text classification.
FLAML is a lightweight Python AutoML library from Microsoft that automatically selects and tunes machine learning models with low computational cost.
Flan-T5 is an instruction-tuned variant of Google's T5 language model, fine-tuned on a wide range of tasks for improved zero-shot performance.
Flowise is a drag-and-drop, low-code tool for visually building large language model applications and AI agent workflows.
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.