orobix / mdd-domain-adaptationLinks
Simple reimplementation of Maximum Density Divergence for Unsupervised Domain Adaptation (https://arxiv.org/abs/2004.12615) in PyTorch Lightning
☆26Updated 4 years ago
Alternatives and similar repositories for mdd-domain-adaptation
Users that are interested in mdd-domain-adaptation are comparing it to the libraries listed below
Sorting:
- Domain Adaptation☆23Updated 4 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 4 years ago
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆79Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 5 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- ☆111Updated 3 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆150Updated 4 years ago
- Another Domain Adaptation library, aimed at researchers.☆105Updated 10 months ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆15Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆167Updated last year
- A simple algorithm to identify and correct for label shift.☆22Updated 7 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- ☆31Updated 4 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 5 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆26Updated 8 months ago
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- ☆79Updated 5 years ago
- Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)☆111Updated last year
- ☆47Updated 3 years ago
- Code for the CVPR 2019 paper : Spectral Metric for Dataset Complexity Assessment☆46Updated last year
- A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.☆49Updated last year
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆153Updated 2 years ago
- ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning☆49Updated 3 years ago
- Implementation of Feedback Transformer in Pytorch☆108Updated 4 years ago