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Nannyml: nannyml: post-deployment data science in python. 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 Nannyml. This is an automatic list. We have not written a researched verdict for Nannyml 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.
SwanLab - an open-source, modern-design AI training tracking and visualization tool.
SwanLab is an experiment tracking and visualization platform for AI model training, available as a cloud service and as a self hosted deployment. Researchers add a few lines of Python to log metrics, hyperparameters and media, and SwanLab records them in a dashboard during training and as a record for later review. It...
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...
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...
AI Infra / AI Orchestration / AI Control Plane
Polyaxon is an open source control plane for running machine learning and AI workloads on Kubernetes. It schedules, tracks and governs training jobs, services, notebooks, agent sessions and sandboxes on the customer's own clusters, so data, models, logs and artifacts stay inside infrastructure the customer controls. I...
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data.
PyOD is an open source Python library for anomaly and outlier detection, positioned by its maintainers as the hub library and API standard for the field. It offers more than 60 detection algorithms behind one interface and covers five data types: tabular, time series, graph, text and image data. The project also includ...
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...