ZhouYuxuanYX

hierarchical_anomaly_detection

Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)

Benchmarking-and-Guiding-Adaptive-Sampling-Decoding-for-LLMs

BlockGCN

This is the official implementation of our CVPR 2024 paper "BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition"

Hyperformer

This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."

Matlab-Implementation-of-Nesterov-s-Accelerated-Gradient-Method-

Implementation and comparison of Nesterov's and other first order gradient method

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 system

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"

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

Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting

Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras

ZhouYuxuanYX/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

ZhouYuxuanYX/Hyperformer

This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."

ZhouYuxuanYX/BlockGCN

This is the official implementation of our CVPR 2024 paper "BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition"

ZhouYuxuanYX/Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting

Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras

ZhouYuxuanYX/MultiMax

This is the official implementation of our ICML 2024 paper "MultiMax: Sparse and Multi-Modal Attention Learning""

ZhouYuxuanYX/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"

ZhouYuxuanYX/Matlab-Implementation-of-Nesterov-s-Accelerated-Gradient-Method-

Implementation and comparison of Nesterov's and other first order gradient method

ZhouYuxuanYX/Naive-Bayes-Spamfilter

Naive Bayes spamfilter implementation in python 3.6 and its command line interface for Linux system

ZhouYuxuanYX/Benchmarking-and-Guiding-Adaptive-Sampling-Decoding-for-LLMs

ZhouYuxuanYX/hierarchical_anomaly_detection

Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)

ZhouYuxuanYX/Kaggle-Titanic-Multilayer-Perceptron-Solution

A Simple Multilayer Perceptron Model Reaching Top 20%

ZhouYuxuanYX/Solving-MountainCar-v0-using-deep-Q-learning

Keras implementation for MountainCar-v0 problem with workable hyperparameters

ZhouYuxuanYX/TokenLabeling

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

ZhouYuxuanYX/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.

ZhouYuxuanYX/Awesome-Skeleton-based-Action-Recognition

Skeleton-based Action Recognition

ZhouYuxuanYX/CTR-GCN

[ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"

ZhouYuxuanYX/infogcn

Official implementation for "InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition"

ZhouYuxuanYX/kaggle-web-traffic

1st place solution

ZhouYuxuanYX/LipNet

Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'

ZhouYuxuanYX/web-traffic-forecasting

Kaggle | Web Traffic Forecasting 📈

ZhouYuxuanYX/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

ZhouYuxuanYX/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.

ZhouYuxuanYX/Neural_Koopman_pooling

[CVPR 2023] Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition

ZhouYuxuanYX/SGN

This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.

ZhouYuxuanYX/SkeletonGCL

The repository is the implementation of ICLR 2023 paper "Graph Contrastive Learning for Skeleton-based Action Recognition".