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Yuxuan Zhou's Projects

ad_examples icon 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.

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

blockgcn icon blockgcn

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

ctr-gcn icon ctr-gcn

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

deeplearningexamples icon 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.

hierarchical_anomaly_detection icon hierarchical_anomaly_detection

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

hyperformer icon hyperformer

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

infogcn icon infogcn

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

lipnet icon lipnet

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

multimax icon multimax

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

naive-bayes-spamfilter icon naive-bayes-spamfilter

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

neural_koopman_pooling icon neural_koopman_pooling

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

sgn icon sgn

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

skeletongcl icon skeletongcl

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

tokenlabeling icon tokenlabeling

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

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