MaginaDai's repositories
PADing
[CVPR-2023] Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation
NERTNet
Codes for "Learning Non-target Knowledge for Few-shot Semantic Segmentation", accepted by CVPR 2022.
ssl_baselines_for_biosignal_feature_extraction
Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
Awesome-Human-Activity-Recognition
An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.
PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
COCOA
COCOA: Cross Modality Contrastive Learning for Sensor Data
OpenPSG
Benchmarking Panoptic Scene Graph Generation (PSG), ECCV'22
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
contrastive-predictive-coding-for-har
Implementation of Contrastive Predictive Coding for Human Activity Recognition
MMD_Loss.Pytorch
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
daigaole
This is the personal web of Gaole
Graph-sequence-networks
Python package built to ease deep learning on graph, on top of existing DL frameworks.
google-research
Google Research
TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
resampling
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
PyContrast
PyTorch implementation of Contrastive Learning methods
Decoupled-Contrastive-Learning
This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.
LIMU-BERT-Public
A lite BERT for IMU sensor data
2s-AGCN
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
mixup-cifar10
mixup: Beyond Empirical Risk Minimization
calda
Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation
cross-person-HAR
Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".
pytorch-domain-adaptation
A collection of implementations of adversarial domain adaptation algorithms
moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Contrastive-Learning-Papers-Codes
A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.