Pinned Repositories
admm-pruning
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
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-attacks-pytorch
PyTorch implementation of adversarial attacks.
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
adversarial_ecoc_lwta
Local Competition and Uncertainty for Adversarial Robustness
AdversarialQuerying
A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"
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, ... 🧠
awesome-few-shot-learning
A review for latest few-shot learning works
awesome-real-world-adversarial-examples
😎 A curated list of awesome real-world adversarial examples resources
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
WangFP-516's Repositories
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.
WangFP-516/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
WangFP-516/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, ... 🧠
WangFP-516/ConvNeXt
Code release for ConvNeXt model
WangFP-516/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
WangFP-516/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
WangFP-516/DeepRobust-1
A pytorch adversarial library for attack and defense methods on images and graphs
WangFP-516/dropout
Code release for "Dropout Reduces Underfitting"
WangFP-516/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
WangFP-516/few-shot-object-detection
Implementations of few-shot object detection benchmarks
WangFP-516/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
WangFP-516/HVT
[ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"
WangFP-516/hyperstyle
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
WangFP-516/LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning.
WangFP-516/ML-Papers-Explained
Explanation to key concepts in ML
WangFP-516/MonoScene
MonoScene: Monocular 3D Semantic Scene Completion. CVPR 2022
WangFP-516/One-Pixel-Shotcut
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)
WangFP-516/One-Shot-Object-Detection
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
WangFP-516/openmixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
WangFP-516/Pair-wise-Similarity-module
WangFP-516/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
WangFP-516/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
WangFP-516/RegAD
[ECCV2022 Oral] Registration based Few-Shot Anomaly Detection
WangFP-516/RepLKNet-pytorch
WangFP-516/SciencePlots
Matplotlib styles for scientific plotting
WangFP-516/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
WangFP-516/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
WangFP-516/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
WangFP-516/UNetPlusPlus
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
WangFP-516/UniRepLKNet
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition