leymir / hyperbolic-image-embeddings
Supplementary code for the paper "Hyperbolic Image Embeddings".
☆375Updated 3 years ago
Alternatives and similar repositories for hyperbolic-image-embeddings
Users that are interested in hyperbolic-image-embeddings are comparing it to the libraries listed below
Sorting:
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated 2 years ago
- Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository☆195Updated 2 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆142Updated last year
- Hyperbolic Hierarchical Clustering.☆200Updated last year
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆541Updated 9 months ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆178Updated 4 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Disentanglement library for PyTorch☆276Updated 3 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆291Updated 3 months ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆442Updated 2 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆539Updated 3 years ago
- A library for ML benchmarking. It's powerful.☆438Updated last year
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆126Updated last year
- Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)☆289Updated last year
- ☆352Updated 5 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆204Updated last year
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆303Updated 4 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆210Updated 2 years ago
- Papers and Codes for the deep learning in hyperbolic space☆176Updated 2 years ago
- Implementation of Slot Attention from GoogleAI☆427Updated 8 months ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆809Updated 6 years ago
- A PyTorch converter for SimCLR checkpoints☆108Updated 4 years ago
- PyTorch code to run synthetic experiments.☆421Updated 3 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆920Updated last year
- Hyperspherical Prototype Networks☆66Updated 5 years ago