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:
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Domain Adaptation☆23Updated 3 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆10Updated 6 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆32Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated last month
- 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
- ☆37Updated 3 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆56Updated 3 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- Semantic Segmentation with Pytorch-Lightning☆63Updated 4 years ago
- ☆109Updated 2 years ago
- PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Repr…☆22Updated 3 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- ☆37Updated 2 years ago
- Label shift experiments☆17Updated 4 years ago
- Layerwise Batch Entropy Regularization☆23Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆142Updated 4 years ago
- An easy-to-use implementation of VICReg in Pytorch.☆19Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 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…☆76Updated 2 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Updated 4 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆59Updated 2 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 years ago