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AgileRL: Streamlining reinforcement learning with RLOps. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match AgileRL. This is an automatic list. We have not written a researched verdict for AgileRL 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.
ZenML : One AI Platform from Pipelines to Agents.
ZenML is an open source framework for orchestrating machine learning pipelines and AI agents in production. Developers write pipelines and agents in Python and run them on the orchestrator and cloud they already use, moving from a laptop to Kubernetes without rewriting. The vendor now presents the company as ZenML Labs...
An autoML framework & toolkit for machine learning on graphs.
AutoGL is an open source automated machine learning toolkit for graph data, developed by the Tsinghua University MN Lab (THUMNLab). It lets researchers and developers run AutoML on graph datasets and tasks: rather than hand picking a graph neural network and tuning it, you hand AutoGL a dataset and a task and its solve...
Synthetic data curation for post-training and structured data extraction
Bespoke Curator is an open source Python library from Bespoke Labs for building synthetic data pipelines. It is used to generate and curate data for post training language models and to extract structured information from unstructured inputs, with the library handling the orchestration of large numbers of model calls. ...
Build, train, optimize, and run computer vision models locally, from raw images to live inference.
Geti is Intel's computer vision platform for building production models without writing training code. It is part of Intel's Open Edge Platform and is aimed at domain experts as much as data scientists: the stated goal is to get from a set of images to a deployable model in minutes and with far less labeled data than a...
Easiest and laziest way for building multi-agent LLMs applications.
LazyLLM is an open source development framework for building and optimizing multi agent AI applications. It is written in Python and aims to cover the stages of application development in one toolkit: application construction, data preparation, model deployment, model fine tuning and evaluation. The stated goal is to l...
LocalAI is the open-source AI engine.
LocalAI is an open source AI engine, released under the MIT license, that runs models on the user's own hardware through one runtime. It handles language models, vision, speech recognition and synthesis, image, video, music and 3D generation, and agent workloads, and it is designed to work on a laptop with no GPU while...