Adversarial Robustness Toolbox
Trusted-AI
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
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Results: 29
Trusted-AI
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
gram-ai
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
POSTECH-CVLab
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
chemprop
Message Passing Neural Networks for Molecule Property Prediction
jeshraghian
Deep and online learning with spiking neural networks in Python
lucidrains
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
huggingface
✨Fast Coreference Resolution in spaCy with Neural Networks
xmartlabs
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Franck-Dernoncourt
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
graph4ai
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learn…
agencyenterprise
PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Be…
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
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