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Noether: Deep-Learning framework for Engineering AI. 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 Noether. This is an automatic list. We have not written a researched verdict for Noether 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.
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 ...
Visualizer for neural network, deep learning and machine learning models
Netron is a viewer for neural network, deep learning and machine learning models. It opens a model file and draws its graph so developers and researchers can inspect the layers, operators and structure of a model, which is useful when debugging, converting or documenting models. The viewer supports ONNX, TensorFlow Li...
A hyperparameter optimization framework
Optuna is an open source hyperparameter optimization framework for machine learning. It automates the search for the best hyperparameter values by running many trials of a user defined objective function and learning which settings work. A search space is written directly in Python, using conditionals, loops and ordin...
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...
Generative AutoML for Tabular Data
SapientML is an AutoML library that generates machine learning pipelines for predictive tasks. It learns from a corpus of existing datasets and the human written pipelines built for them, then uses that knowledge to produce a high quality pipeline for a new dataset instead of searching every possible combination. It i...
The code powering searchthearxiv.com, a simple semantic search engine for more than 500,000 ML papers on arXiv.
Search the arXiv is a semantic search engine for machine learning papers on arXiv. Instead of matching keywords, it lets a researcher describe what they are looking for in plain language, or paste an arXiv link to find papers similar to one they already know, and returns the closest matches. The site embeds the abstra...