ywatanabe1989 / custom_losses_pytorch
Custom loss functions to use in (mainly) PyTorch.
☆39Updated 4 years ago
Alternatives and similar repositories for custom_losses_pytorch:
Users that are interested in custom_losses_pytorch are comparing it to the libraries listed below
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 5 years ago
- ☆22Updated 3 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆42Updated 2 years ago
- Contrastive Learning for Time Series☆38Updated 2 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆33Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification☆72Updated 10 months ago
- Implementation of dynamic temporal pooling (DTP) for time series classification☆39Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- Code for our paper Self Supervised Learning for Semi Supervised Time Series Classification PAKDD 2020☆16Updated 4 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated last year
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆68Updated 4 years ago
- The official implementation of Triplet Attention.☆22Updated 3 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- ResNet-1D and Variable Length Pooling for time series data like speech☆33Updated 6 years ago
- [SDM 2022] Towards Similarity-Aware Time-Series Classification☆78Updated last year
- ☆43Updated 2 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆147Updated 6 years ago
- Metrics for measuring our multilabel model☆30Updated 6 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆32Updated 3 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆91Updated 2 years ago
- Time Series Classification Benchmark with LSTM, VGG, ResNet☆59Updated 7 years ago
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆84Updated 3 years ago
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- ☆19Updated 4 years ago
- PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…☆25Updated 5 years ago
- ☆29Updated 5 years ago