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Nnsight: The nnsight package enables interpreting and manipulating the internals of deep learned 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 Nnsight. This is an automatic list. We have not written a researched verdict for Nnsight 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.
BigQuery DataFrames is a scalable, pandas-compatible DataFrame library.
BigQuery DataFrames, known as BigFrames, is an open source Python library from Google that lets data scientists analyse and model very large datasets directly inside BigQuery. It offers a pandas compatible API, translates Python code into optimised SQL and runs the work across BigQuery's distributed infrastructure, so ...
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Core ML Tools is Apple's open source Python package for converting trained machine learning models into the Core ML format so they can run inside apps on Apple devices. Developers train a model in a third party framework, convert it with coremltools into a Core ML model package, and then integrate it into an iOS, macOS...
Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning
Deepparse is an open source Python library for parsing multinational street addresses with deep learning. Given a raw address string, it splits the text into labelled components such as street number, street name, municipality, province and postal code, using pretrained sequence to sequence models with or without an at...
A lightweight AutoML library.
Falcon is a lightweight AutoML library for Python that trains a complete machine learning pipeline from a single call. Point it at a CSV file or a pandas data frame, name the task, and it handles preprocessing, candidate model selection and evaluation, returning a trained pipeline without the usual assembly work. It is...
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...