rahulmadanahalli / manifold_mixup
Tensorflow implementation of the Manifold Mixup machine learning research paper
☆28Updated last year
Related projects ⓘ
Alternatives and complementary repositories for manifold_mixup
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 3 years ago
- Implementation of self-supervised image-level contrastive pretraining methods using Keras.☆69Updated 3 years ago
- ☆40Updated last year
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 3 years ago
- Benchmark time series data sets for PyTorch☆34Updated 9 months ago
- Reusable BatchBALD implementation☆74Updated 8 months ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆53Updated last year
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆62Updated 4 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 5 years ago
- Contrastive Learning for Time Series☆38Updated last year
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆110Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆155Updated 10 months ago
- ☆24Updated 4 years ago
- Implementation of "MixMatch: A Holistic Approach to Semi-Supervised Learning" in TensorFlow 2.0☆12Updated 5 years ago
- [Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence☆15Updated 4 years ago
- Custom loss functions to use in (mainly) PyTorch.☆37Updated 4 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆36Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆27Updated 3 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆75Updated 2 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- ☆109Updated 2 years ago
- Seq2Tens: An efficient representation of sequences by low-rank tensor projections☆27Updated last year
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 2 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated last year
- ☆22Updated 2 years ago
- ☆82Updated last year
- DTWNet: a Dynamic Time Warping Network☆67Updated 5 years ago
- Stochastic Weight Averaging Tutorials using pytorch.☆33Updated 4 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆35Updated 3 years ago