hankyul2 / DomainAdaptationLinks
Domain Adaptation
☆23Updated 3 years ago
Alternatives and similar repositories for DomainAdaptation
Users that are interested in DomainAdaptation are comparing it to the libraries listed below
Sorting:
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated last year
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆77Updated 3 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆56Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 4 years ago
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆107Updated 2 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- ☆37Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated last month
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆77Updated 2 years ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated 2 years ago
- Label shift experiments☆17Updated 4 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 years ago
- ☆47Updated 2 years ago
- Functional deep learning☆108Updated 2 years ago
- ☆139Updated last year
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- ☆109Updated 2 years ago
- TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectivene…☆125Updated 3 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 5 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
- ☆36Updated last year