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Candy: Minimalist ML framework for Go. 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 Candy. This is an automatic list. We have not written a researched verdict for Candy 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.
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. ...
A deep learning framework built on an autograd engine with high level abstractions and low level control.
Zigrad is a programmable deep learning framework and compiler that aims to connect research workflows with production execution. Models are expressed in a structured program representation that can be inspected, transformed and lowered to different compiler backends without rewriting the model code. The design centers...
Git for MongoDB — branch, time-travel, and undo your data.
Argon is open source branching and merge for MongoDB, built for AI agents. It gives each agent its own branch of the data, checked out as a real MongoDB database, so the agent can test changes, look back at earlier states and propose edits that a person reviews as a diff before merging anything into the main data. It ...
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...
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...
DataDreamer: Prompt. Generate Synthetic Data.
DataDreamer is an open source Python library for prompting, synthetic data generation and model training workflows. Its authors describe it as simple, efficient and research grade. A single Python script can load a large language model, generate a synthetic dataset from an instruction, transform that dataset with furth...