maginadai Goto Github PK

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

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.

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

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cocoa

COCOA: Cross Modality Contrastive Learning for Sensor Data

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.

contrastive-predictive-coding-for-har

Implementation of Contrastive Predictive Coding for Human Activity Recognition

contrastivelearninghar

Contrastive Learning (SimCLR) for Human Activity Recognition

cross-person-har

Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".

daigaole

This is the personal web of Gaole

decoupled-contrastive-learning

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

deep-high-resolution-net.pytorch

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

deepsense

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

google-research

Google Research

gpt-2

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

graph-sequence-networks

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

hard-soft-decision-trees

For the homework of Machine Learning Class

hexo-theme-academia

A light & simple & responsive page for academic websites on Hexo, crafted from academicpages on Jekyll.

jina

An easier way to build neural search on the cloud

limu-bert-public

A lite BERT for IMU sensor data

metasense_public

The PyTorch Implementation of MetaSense (MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing, ACM SenSys '19).

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mmd_loss.pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

nertnet

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

neuroplan

ob-ik-opensim-plugin

Orientation-based inverse kinematics plugin for Opensim

openpsg

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