MYFDF's Stars
iamyuanchung/csdnn
Theano implementation of Cost-Sensitive Deep Neural Networks
mariogrune/MEMD-Python-
Python version of the Multivariate Empirical Mode Decomposition algorithm
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
xuhongzuo/DeepOD
Deep learning-based outlier/anomaly detection
spencerbraun/anomaly_transformer_pytorch
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
AI-ChaoHu/DiffusionAD
Diffusion method for anomaly detection
MYFDF/tabular_augmentation
tabular_augmentation contains some classical and noval methods used for data augmentation, it makes tabular data augmentation easier.
binarygraka/se-test-framework
A prototypical implementation for the construction of data sets containing False Data Injection Attacks and evaluating the performance of detecting False Data Injection Attacks using machine learning-based models.
yandex-research/tab-ddpm
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
prophesier/diff-svc
Singing Voice Conversion via diffusion model
bubbliiiing/ddpm-pytorch
这个是一个ddpm的pytorch仓库,可以用于训练自己的数据集。
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
hojonathanho/diffusion
Denoising Diffusion Probabilistic Models
ShoufaChen/DiffusionDet
[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
hefansjtu/DKPCA