huckiyang / Voice2Series-Reprogramming
ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification
☆72Updated 10 months ago
Alternatives and similar repositories for Voice2Series-Reprogramming:
Users that are interested in Voice2Series-Reprogramming are comparing it to the libraries listed below
- Contrastive Learning for Time Series☆38Updated 2 years ago
- Implementation of dynamic temporal pooling (DTP) for time series classification☆39Updated 3 years ago
- ☆140Updated 2 years ago
- DTWNet: a Dynamic Time Warping Network☆67Updated 5 years ago
- ☆22Updated 3 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated last year
- PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA☆142Updated 3 years ago
- Code for mixup contrastive learning☆22Updated 4 years ago
- [SDM 2022] Towards Similarity-Aware Time-Series Classification☆78Updated last year
- Multivariate Time Series Classification Model with Attentional Prototype Network☆44Updated 6 years ago
- ☆118Updated 2 years ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆38Updated 9 months ago
- Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.☆76Updated 4 years ago
- (Under Review)☆67Updated 3 years ago
- A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".☆140Updated 2 years ago
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆84Updated 3 years ago
- ☆93Updated 5 months ago
- Time Series Classification Benchmark with LSTM, VGG, ResNet☆59Updated 7 years ago
- An implementation of SoftDTW for PyTorch.☆222Updated 4 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"☆14Updated 2 years ago
- Sequence modeling benchmarks and temporal convolutional networks https://github.com/locuslab/TCN☆23Updated 5 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆119Updated last year
- ☆70Updated 11 months ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- ☆31Updated 2 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆74Updated 4 years ago
- Convolutional Transformer Architectures Complementary to Time Series Forecasting Transformer Models☆50Updated 3 years ago
- Official Implementation of Time Series Generation with Masked Autoencoder (ExtraMAE)☆37Updated 2 years ago