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AutoGL: An autoML framework & toolkit for machine learning on graphs. 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 AutoGL. This is an automatic list. We have not written a researched verdict for AutoGL 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.
Streamlining reinforcement learning with RLOps.
AgileRL builds tools for training specialized AI agents with reinforcement learning. Its main product, Arena, is an enterprise platform that turns a company's raw data and workflows into training environments and LLM datasets, then trains, tunes and deploys a small model that becomes an expert at that specific task ins...
Minimalist ML framework for Go.
Candy is a minimalist machine learning framework for the Go programming language, developed by the open source organisation GoCNN. It provides tensor operations, neural network layers, convolutions, flash attention and support for large language models, with an API designed to feel natural to Go developers rather than ...
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. ...
dashAI: an interactive platform for training, evaluating and deploying AI models
DashAI is an open source desktop application for data analysis and machine learning model training without writing code. It runs entirely on the user's own machine and needs no cloud services, external authentication or API keys for its core functions. Within one visual interface users import datasets, explore data, tr...
Deep learning driven jazz generation using Keras & Theano!
Deepjazz is an open source project that generates jazz music with deep learning. Built by Ji Sung Kim of the Princeton University Department of Computer Science in 36 hours at a hackathon, it trains a two layer LSTM network on a supplied MIDI file and then produces new jazz passages in the style of that input. The code...
A toolkit for making real world machine learning and data analysis applications in C++
Dlib is a modern C++ toolkit of machine learning algorithms and supporting tools for building complex software that solves real world problems. It is a mature, general purpose library rather than a hosted service: developers compile it into their own applications and get classical machine learning, deep learning, compu...