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Netron: Visualizer for neural network, deep learning and machine learning models. It is listed under Data & Analytics on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Netron. This is an automatic list. We have not written a researched verdict for Netron yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
A refreshing functional take on deep learning, compatible with your favorite libraries
Thinc is a lightweight, type checked deep learning library for composing models in Python. It comes from the makers of spaCy and Prodigy, and earlier versions of the library have powered spaCy since its release. The current design is a redesign that takes a functional approach to defining neural networks. The library ...
nannyml: post-deployment data science in python
NannyML is a post deployment monitoring product for machine learning models. Its core idea is to estimate model performance when ground truth labels are delayed or missing, so a team can see how a model is doing and be alerted when performance drops rather than when data merely drifts. The company says this cuts false ...
Machine learning powered Karaoke app (with scores!)
Nightingale is a karaoke application that turns a personal music library into singalong tracks. A user picks a song, and the app finds or creates synced lyrics, makes an instrumental version when needed, lets them change key and tempo, and scores their singing in real time. It ships as a single binary with a desktop ap...
Deep-Learning framework for Engineering AI.
The Noether Framework is an open source deep learning framework for engineering AI, built by Emmi AI. It supplies the pieces needed to build, train and apply industrial models on transformer building blocks, so engineering teams do not have to rebuild components or assemble an in house deep learning team. The framewor...
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
OpenVINO is an open source toolkit from Intel for deploying AI models across cloud, AI PCs, edge devices and robotics. It converts, optimizes and runs inference on models from popular frameworks, with the aim of getting the most out of Intel hardware. The documentation describes four main tools. The base package runs ...
Deep universal probabilistic programming with Python and PyTorch
Pyro is a universal probabilistic programming language written in Python and supported by PyTorch on the backend. It is used for deep probabilistic modeling, combining modern deep learning with Bayesian methods so that users can describe a model as code and run inference over it. The project lists four design principl...