Yuxuan Zhou's repositories
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 data
Hyperformer
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 Keras
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"
Matlab-Implementation-of-Nesterov-s-Accelerated-Gradient-Method-
Implementation and comparison of Nesterov's and other first order gradient method
Naive-Bayes-Spamfilter
Naive Bayes spamfilter implementation in python 3.6 and its command line interface for Linux system
hierarchical_anomaly_detection
Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)
Kaggle-Titanic-Multilayer-Perceptron-Solution
A Simple Multilayer Perceptron Model Reaching Top 20%
Solving-MountainCar-v0-using-deep-Q-learning
Keras implementation for MountainCar-v0 problem with workable hyperparameters
TokenLabeling
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
ad_examples
A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.
Awesome-Skeleton-based-Action-Recognition
Skeleton-based Action Recognition
kaggle-web-traffic
1st place solution
web-traffic-forecasting
Kaggle | Web Traffic Forecasting š
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Neural_Koopman_pooling
[CVPR 2023] Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition
SGN
This is the implementation of CVPR2020 paper āSemantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognitionā.
SkeletonGCL
The repository is the implementation of ICLR 2023 paper "Graph Contrastive Learning for Skeleton-based Action Recognition".