yahaha's repositories
mmdetection
OpenMMLab Detection Toolbox and Benchmark
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Sherlock
This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.
CLIP
Contrastive Language-Image Pretraining
AMT-GAN
The official implementation of our CVPR 2022 paper "Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer".
malware_detection
结合cuckoo沙箱调用及报告处理实现基于API调用序列和网络流量的恶意代码检测
moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Malware-Detection-Using-Deep-Learning-1
Malware Detection with help of Image processing
Malware-Detection-using-Deep-Learning
Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malware files. Then, by the trained model, we try to classify a file as malware or not. By using malware images and deep learning, we can detect malware fast since we do not need any static analysis or dynamic analysis.
Malware_Detection_Using_Deep_Learning
An approach to detect Malware Files using Deep Learning
malware-detection-based-on-cnn
基于卷积神经网络的恶意软件检测方法