satwik77 / pyDPPLinks
A python package for sampling from determinantal point processes
☆34Updated 6 years ago
Alternatives and similar repositories for pyDPP
Users that are interested in pyDPP are comparing it to the libraries listed below
Sorting:
- ☆63Updated 4 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 8 months ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆157Updated 4 years ago
- Resources on how to use the GPU clusters☆33Updated 4 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 4 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 4 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated last month
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆126Updated last year
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆117Updated 4 years ago
- How certain is your transformer?☆25Updated 4 years ago
- Code for Optimal Transport for structured data with application on graphs☆100Updated 2 years ago
- Belief matching framework official implementation☆40Updated 2 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- ☆24Updated 6 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated last year
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆47Updated 5 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆51Updated 3 years ago
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆88Updated 4 years ago
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆270Updated 3 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Updated 6 years ago
- Memory-Based Graph Networks☆103Updated 3 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆178Updated 4 years ago