DhrLhj's Stars
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
thuml/Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
hfawaz/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
sktime/sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
yaringal/DropoutUncertaintyExps
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
ENSTA-U2IS-AI/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
thuml/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
lzane/Fingers-Detection-using-OpenCV-and-Python
A simple Fingers Detection (or Gesture Recognition) using OpenCV and Python with background substraction 简单手势识别
angus924/rocket
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Sanster/tldream
A tiny little diffusion drawing app
yaringal/BayesianRNN
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
thuml/Flowformer
About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf
angus924/minirocket
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
yaringal/ConcreteDropout
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
nengo/keras-lmu
Keras implementation of Legendre Memory Units
uzh-rpg/deep_uncertainty_estimation
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).
wbstx/handAR
ChangWeiTan/MultiRocket
Multiple pooling operators and transformations for fast and effective time series classification
JakobCode/UncertaintyInNeuralNetworks_Resources
hurrialice/uncertainties
AM207 project: dissect aleatoric and epistemic uncertainty
jyf588/transformer-inertial-poser
Python implementation accompanying the Transformer Inertial Poser paper at SIGGRAPH Asia 2022
donalee/DTW-Pool
Implementation of dynamic temporal pooling (DTP) for time series classification
hrshtv/pytorch-lmu
A PyTorch implementation of Legendre Memory Units (LMUs) and its FFT variant
xmed-lab/UCVME
AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
frankl1/ustc
Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification
Pacmed/ehr_ood_detection
Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
tmehari/ssm_ecg
IkeYang/machine-vision-assisted-deep-time-series-analysis-MV-DTSA-
neerajwagh/evaluating-eeg-representations
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
marcoancona/LPDN
Feedforward implementation of Lightweight Probabilistic Deep Networks for Keras and Tensorflow