ETH Zürich Semester Project exploring the possibilities of using Deep Learning to extract vital signs from Radar Data
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Updated
May 6, 2024 - Python
ETH Zürich Semester Project exploring the possibilities of using Deep Learning to extract vital signs from Radar Data
PyTorch implementation of Temporal Convolutional Network
This repository contains code and resources for a project focused on predicting traffic volume using Temporal Convolutional Networks (TCNs). Leveraging the Metro Interstate Traffic Volume dataset from 2012-2018, the project aims to develop an accurate model for short- to medium-term traffic volume forecasting in Minneapolis-St Paul, MN.
Modelling Spring Reverb with Neural Audio Effects
Attention temporal convolutional network for EEG-based motor imagery classification
Applying Machine Learning Techniques To Assess Whether A Country’s Currency Can Predict The Movement Of Their Respective Stock Market Index
Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network
Audio effect modeling with Deep Learning using Pytorch and synthetic dataset generation with Pedalboard
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
PyTorch implementation of Densely Connected Time Delay Neural Network
A Keras library for multi-step time-series forecasting.
A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
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.
Undergraduate group project in which we built an ECG classifier using a TCN-CNN with 97% accuracy
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).
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
Action Classification on Breakfast Dataset using Temporal Convolutional Networks (TCN)
Build end-to-end Deep Neural Network to translate speech to text (ASR model)
Multivariate time series analysis on london bike sharing dataset
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