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Iree: A retargetable MLIR-based machine learning compiler and runtime toolkit. 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 Iree. This is an automatic list. We have not written a researched verdict for Iree 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.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Foolbox is a Python library for running adversarial attacks against machine learning models. It takes a trained model, wraps it in a framework specific adapter, and applies an attack to a batch of inputs across a range of perturbation budgets, returning the adversarial examples and a success flag for each one. The purp...
JAX in JavaScript – ML library for the web, running on WebGPU & Wasm
This library is a machine learning library and compiler for the web, written from scratch in pure JavaScript with zero external dependencies. It is inspired by JAX and offers close API compatibility with NumPy and JAX, and it runs entirely on the client side in browsers including Chrome, Firefox, iOS and Android. A li...
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
ONNX Runtime is an open source engine for running and accelerating machine learning models across platforms. It executes models exported to the ONNX format and applies built in optimizations to improve latency, throughput, memory use and binary size on CPUs, GPUs and NPUs. It is aimed at developers who need to ship tr...
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!
AnyLabeling is an open source desktop application for annotating images to build computer vision datasets, with AI assisted labeling from Segment Anything and YOLO models. Its maintainers describe it as LabelImg plus Labelme with an improved interface and automatic labeling, so a user can click a point or draw a box an...
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...
Ultrafast serverless GPU inference, sandboxes, and background jobs
Beta9 is the open source runtime behind Beam, a serverless platform for running AI workloads on GPUs and CPUs without managing servers. Developers decorate ordinary Python functions to turn them into autoscaling inference endpoints, task queues or isolated sandboxes, then ship them with a single deploy command. The run...