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The open-sourced Python toolbox for backdoor attacks and defenses.

Python 477 74 Updated Jul 30, 2024

Official code for the paper RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN (ECCV 2022)

Python 8 Updated Jul 14, 2022
Jupyter Notebook 423 70 Updated Dec 5, 2024

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Python 282 63 Updated Aug 11, 2024

Pretrained TorchVision models on CIFAR10 dataset (with weights)

Python 649 155 Updated Jun 24, 2023

Collection of generative models in Pytorch version.

Python 2,606 546 Updated Apr 12, 2020

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Python 51,279 16,448 Updated Nov 26, 2024

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Python 1,853 120 Updated Nov 18, 2024

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

Python 125 30 Updated Sep 13, 2023

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Python 663 113 Updated May 16, 2024

Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).

Python 90 24 Updated Dec 22, 2022

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Python 223 39 Updated Nov 9, 2019

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Python 2,523 477 Updated Mar 16, 2023

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Jupyter Notebook 2,361 607 Updated Sep 23, 2024

A Pytorch-Lightning implementation of self-supervised algorithms

Python 536 52 Updated Apr 13, 2022

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Python 20,332 2,531 Updated Aug 15, 2024

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Python 4,866 1,459 Updated Nov 30, 2023

The uncompromising Python code formatter

Python 39,276 2,478 Updated Dec 4, 2024

Tensorboard extension for jupyterlab.

TypeScript 315 36 Updated Jul 21, 2022

JupyterLab - Nord Theme

CSS 25 1 Updated Sep 20, 2020

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

17,669 2,255 Updated Dec 2, 2024

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

Python 1,033 149 Updated Aug 11, 2021

FaceID implementation in PyTorch

Jupyter Notebook 3 1 Updated Mar 31, 2022

Companion webpage to the book "Mathematics For Machine Learning"

Jupyter Notebook 13,312 2,453 Updated Jan 15, 2024

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

Jupyter Notebook 313 133 Updated Aug 19, 2020

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Python 84,755 22,824 Updated Dec 5, 2024

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

HTML 867 131 Updated Jun 11, 2020

Class Activation Mapping

MATLAB 1,847 467 Updated Sep 13, 2022

Pytorch implementation of Learning to See in the Dark in CVPR 2018

HTML 14 1 Updated Jun 3, 2019

The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL

Python 229 65 Updated Mar 27, 2018