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Foolbox: A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX. 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 Foolbox. This is an automatic list. We have not written a researched verdict for Foolbox 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 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...
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 ...
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...
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 retargetable MLIR-based machine learning compiler and runtime toolkit.
IREE, short for Intermediate Representation Execution Environment, is an MLIR based compiler and runtime that lowers machine learning models to a unified intermediate representation. The same toolchain is meant to scale from datacenter workloads down to the constraints of mobile and edge deployments, with binary sizes ...