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Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-
Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based) settings for anaomaly detection in time series dataHyperformer
This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting
Sequence to Sequence Model based on Wavenet instead of LSTM implemented in KerasBlockGCN
This is the official implementation of our CVPR 2024 paper "BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition"SP-ViT-Learning-2D-Spatial-Priors-for-Vision-Transformers
This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"MultiMax
This is the official implementation of our ICML 2024 paper "MultiMax: Sparse and Multi-Modal Attention Learning""Naive-Bayes-Spamfilter
Naive Bayes spamfilter implementation in python 3.6 and its command line interface for Linux systemSolving-MountainCar-v0-using-deep-Q-learning
Keras implementation for MountainCar-v0 problem with workable hyperparametersKaggle-Titanic-Multilayer-Perceptron-Solution
A Simple Multilayer Perceptron Model Reaching Top 20%Hyperformer-for-Skeleton-based-Action-Recognition
This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition""Love Open Source and this site? Check out how you can help us