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Zigrad: A deep learning framework built on an autograd engine with high level abstractions and low level control. 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 Zigrad. This is an automatic list. We have not written a researched verdict for Zigrad 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.
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 ...
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
This library provides a high level layer on top of PyTorch for training and evaluating neural networks. It provides an engine that runs training and evaluation loops, and an event system that can trigger handlers at any built in or custom event. Handlers cover checkpointing, early stopping, parameter scheduling, profil...
A simplified framework and utilities for PyTorch
Poutyne is an open source Python framework that removes much of the boilerplate involved in training neural networks with PyTorch. A developer writes a PyTorch module as usual and passes it to the Poutyne Model, which then runs the training loop, tracks statistics and applies callbacks. The design is openly inspired by...
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. ...
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...