WangFP-516

Adversarial-Attacks-and-Defences

A defense algorithm which utilizes the combination of an auto- encoder and block-switching architecture. Auto-coder is intended to remove any perturbations found in input images whereas block switching method is used to make it more robust against White-box attack. Attack is planned using FGSM model, and the subsequent counter-attack by the proposed architecture will take place thereby demonstrating the feasibility and security delivered by the algorithm.

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

annotated_deep_learning_paper_implementations

🧑‍🏫 50! 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, ... 🧠

ConvNeXt

Code release for ConvNeXt model

DataLens

[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

DeepRobust-1

A pytorch adversarial library for attack and defense methods on images and graphs

dropout

Code release for "Dropout Reduces Underfitting"

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

few-shot-object-detection

Implementations of few-shot object detection benchmarks

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

HVT

[ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"

hyperstyle

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

LibFewShot

LibFewShot: A Comprehensive Library for Few-shot Learning.

ML-Papers-Explained

Explanation to key concepts in ML

MonoScene

MonoScene: Monocular 3D Semantic Scene Completion. CVPR 2022

One-Pixel-Shotcut

One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)

One-Shot-Object-Detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

Pair-wise-Similarity-module

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

RegAD

[ECCV2022 Oral] Registration based Few-Shot Anomaly Detection

RepLKNet-pytorch

SciencePlots

Matplotlib styles for scientific plotting

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

SiamTrackers

(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on deep learning

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

UNetPlusPlus

Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

UniRepLKNet

UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition