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Falcon: A lightweight AutoML library. 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 Falcon. This is an automatic list. We have not written a researched verdict for Falcon 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.
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...
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 ...
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 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...
The nnsight package enables interpreting and manipulating the internals of deep learned models.
NNsight is a Python library for interpreting and manipulating the internals of deep learning models. It gives researchers a Pythonic interface to read activations at any layer during a forward pass, modify those activations to study causal effects, and compute gradients with respect to intermediate values. It was devel...
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...