A Keras library for multi-step time-series forecasting.
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Updated
Apr 6, 2020 - Python
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
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"
Attention temporal convolutional network for EEG-based motor imagery classification
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.
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.
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).
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
[Journal of Speech Communication (CCF-B)] Official Tensorflow implementation of "GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition".
Undergraduate group project in which we built an ECG classifier using a TCN-CNN with 97% accuracy
Classification of drum samples using dilated convolutions
comprehensive collection of powerful techniques for time series data visualization, analysis and modeling
PyTorch implementation of Temporal Convolutional Network
Build end-to-end Deep Neural Network to translate speech to text (ASR model)
Action Classification on Breakfast Dataset using Temporal Convolutional Networks (TCN)
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction
Multivariate time series analysis on london bike sharing dataset
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