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DashAI: dashAI: an interactive platform for training, evaluating and deploying AI models. 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 DashAI. This is an automatic list. We have not written a researched verdict for DashAI 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.
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Happy Transformer is a Python package that makes it easier to fine tune and run inference with NLP transformer models. It wraps common model families behind a small, consistent interface so developers can try a model or train it on their own data without writing the surrounding boilerplate. The documentation lists the...
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...
CAMEL: The first and the best multi-agent framework.
CAMEL is an open source, modular framework for building multi agent AI systems in Python. It supplies the primitives for creating agents that reason, plan and call tools, composing them into societies with defined roles, and running them against code interpreters, memory stores and retrieval pipelines. The project desc...
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. ...
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...