MaginaDai

2s-AGCN

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

activityrecognition

Resources about activity recognition-行为识别资料

AutoDroid

Source code for the paper "Empowering LLM to use Smartphone for Intelligent Task Automation"

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.

Awesome-LLM-Reasoning

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

brain-interface

PR(homework) including SVM, bayes, KNN, MLP, decision tree, forest and CNN

calda

Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation

contrastive-predictive-coding-for-har

Implementation of Contrastive Predictive Coding for Human Activity Recognition

Graph-sequence-networks

Python package built to ease deep learning on graph, on top of existing DL frameworks.

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

MaginaDai/contrastive-predictive-coding-for-har

Implementation of Contrastive Predictive Coding for Human Activity Recognition

MaginaDai/Graph-sequence-networks

Python package built to ease deep learning on graph, on top of existing DL frameworks.

MaginaDai/2s-AGCN

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

MaginaDai/AutoDroid

Source code for the paper "Empowering LLM to use Smartphone for Intelligent Task Automation"

MaginaDai/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.

MaginaDai/Awesome-LLM-Reasoning

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

MaginaDai/COCOA

COCOA: Cross Modality Contrastive Learning for Sensor Data

MaginaDai/ContrastSense-Public

MaginaDai/daigaole

This is the personal web of Gaole

MaginaDai/Decoupled-Contrastive-Learning

This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.

MaginaDai/deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

MaginaDai/google-research

Google Research

MaginaDai/gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

MaginaDai/LIMU-BERT-Public

A lite BERT for IMU sensor data

MaginaDai/llm-reasoners

A library for advanced large language model reasoning

MaginaDai/LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

MaginaDai/MMD_Loss.Pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

MaginaDai/NERTNet

Codes for "Learning Non-target Knowledge for Few-shot Semantic Segmentation", accepted by CVPR 2022.

MaginaDai/neuroplan

MaginaDai/OpenPSG

Benchmarking Panoptic Scene Graph Generation (PSG), ECCV'22

MaginaDai/PADing

[CVPR-2023] Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation

MaginaDai/PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

MaginaDai/PyContrast

PyTorch implementation of Contrastive Learning methods

MaginaDai/pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

MaginaDai/resampling

Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition

MaginaDai/ssl_baselines_for_biosignal_feature_extraction

Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.

MaginaDai/swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

MaginaDai/toyberry

Toy implementation of Strawberry

MaginaDai/translation

MaginaDai/TS-TCC

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"