Yuansheng Zhu's repositories
Towards-OpenVAD
Official implementation for ECCV paper "Towards Open Set Video Anomaly Detection"
OpenConstruction
OpenConstruction project
Awesome-Incremental-Learning
Awesome Incremental Learning
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
complementary
Code for complementary-label learning.
CutPaste
Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch
deviation-network
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
google-research
Google Research
gpt-2-output-dataset
Dataset of GPT-2 outputs for research in detection, biases, and more
h-transformer-1d
Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
InterFusion
KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
leetcode_101
LeetCode 101：和你一起你轻松刷题（C++）
mammoth
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
mmcv
OpenMMLab Computer Vision Foundation
mmdetection
OpenMMLab Detection Toolbox and Benchmark
prompt-pretraining
Open-construction
PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
PyContinual
PyContinual (An Easy and Extendible Framework for Continual Learning)
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
sktime
A unified framework for machine learning with time series
SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
TorchAL
Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
vpt
❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119