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adversarial-attacks-on-transformers

Exploring vulnerabilities of Transformers-based Malware Detectors to Adversarial Attacks

adversarial_example_simplex_worley

adversarialwavelettraining

android-vision

Deprecated: The Mobile Vision API is now a part of ML Kit: Check out this repo:

awesome-deep-learning-theory

A curated list of awesome Deep Learning theories that shed light on the mysteries of DL

awesome_robust_ml

azure-machinelearning-datascience

causalib

causalIB and InfoAT

cnsurvey

data_aug_obj_det

dk-for-tst

This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

finetune-anything

Fine-tune SAM (Segment Anything Model) for class-aware computer vision tasks in specific scenarios

fourierheatmap

Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, NeurIPS2019]

geodesicadversarialtraining

An implementation of the work "Enhance Adversarial Robustness via Geodesic Distance"

jpmml-sklearn

Java library and command-line application for converting Scikit-Learn pipelines to PMML

kerasdeeplearningdemo

Some demo for keras deep learning task

malwarevit

Training Vision Transformers from Scratch for Malware Classification

mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

owlvit_segment_anything

Combining OwlViT with Segment Anything - Open-vocabulary Detection and Segmentation (Text-conditioned, and Image-conditioned)

patch-defense-leaderboard

A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

questionansweringsystem

QuestionAnsweringSystem是一个Java实现的人机问答系统，能够自动分析问题并给出候选答案。

quickstart-android

Firebase Quickstart Samples for Android

spatial-attention

Vehicle Trajectory Prediction

starting-kit

Starting kit for the NeurIPS 2023 unlearning challenge

store-clsssification-with-xgboost-and-lightgbm

xgboost and lightGBM model for store payment regression

surface-dynamics

Teichmüller dynamics in SageMath

swin-cifar10_test

Testing of Swin Transformer on CIFAR-10 dataset

towards-universal-object-detection