Attention temporal convolutional network for EEG-based motor imagery classification
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Updated
Dec 12, 2024 - Python
Attention temporal convolutional network for EEG-based motor imagery classification
A Keras library for multi-step time-series forecasting.
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
PyTorch implementation of Densely Connected Time Delay Neural Network
Modelling Spring Reverb with Neural Audio Effects
A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.
This repo contains an implementation code for the weakly supervised surgical tool tracker. In this research, the temporal dependency in surgical video data is modeled using a convolutional LSTM which is trained only on image level labels to detect, localize and track surgical instruments.
[IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN
Temporal Convolutional Network for Sequence Modelling
Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
Undergraduate group project in which we built an ECG classifier using a TCN-CNN with 97% accuracy
Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network
ETH Zürich Semester Project exploring the possibilities of using Deep Learning to extract vital signs from Radar Data
comprehensive collection of powerful techniques for time series data visualization, analysis and modeling
PyTorch implementation of Temporal Convolutional Network
Action Classification on Breakfast Dataset using Temporal Convolutional Networks (TCN)
RUL prediction of engines from CMAPSS Data
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