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Pyribs: A bare-bones Python library for quality diversity optimization. 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 Pyribs. This is an automatic list. We have not written a researched verdict for Pyribs 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.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection.
Nixtla is the company behind TimeGPT, a foundation model for time series forecasting and anomaly detection. Rather than training a separate model for each dataset, users send their historical data to a pretrained model and receive forecasts or flags for unusual points. The documentation describes it as the first founda...
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...
The CLI for GPUs
TensorPool is a GPU cloud for machine learning training and inference. Users create multi node GPU clusters on demand from a command line tool, with commands to create a cluster, attach shared storage and push training jobs through a Git style interface. Normal SSH access is also offered. The company schedules users on...
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 ...
Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).
imodels is an open source Python package for concise, transparent and accurate predictive modeling. It gives data scientists a scikit learn compatible interface to interpretable models, so a classifier or regressor can be imported, fitted and used with the familiar fit and predict methods. The aim is to replace black b...
Image annotation with Python.
Labelme is a desktop image annotation application for Windows, macOS and Linux that uses AI models running locally on the user's computer. It is made by the creator of the open source Labelme project, which began in 2016 and remains maintained. This listing covers the commercial application. Users open a folder of ima...