ywatanabe1989 / custom_losses_pytorchLinks
Custom loss functions to use in (mainly) PyTorch.
☆39Updated 5 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
Sorting:
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆137Updated 7 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆75Updated 6 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆148Updated 6 years ago
- ☆144Updated 6 months ago
- Implementation of dynamic temporal pooling (DTP) for time series classification☆38Updated 3 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆44Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆58Updated 7 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated 2 years ago
- A curated list of time series augmentation resources.☆65Updated 4 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 5 years ago
- Contrastive Learning for Time Series☆40Updated 2 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆77Updated 6 years ago
- [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题☆111Updated last year
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆62Updated 2 years ago
- Repository of the ICML 2020 paper "Set Functions for Time Series"☆129Updated 4 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆116Updated 5 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated 2 years ago
- Sequence modeling benchmarks and temporal convolutional networks https://github.com/locuslab/TCN☆24Updated 6 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 4 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 4 years ago
- Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf☆110Updated 6 years ago
- ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification☆73Updated last year
- Extreme Learning Machine implemented in Pytorch☆105Updated 7 years ago
- A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".☆142Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- ☆41Updated 2 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆35Updated 6 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆29Updated 3 years ago
- ☆91Updated 4 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Updated 9 months ago