lauramanduchi / treevaeLinks
Tree Variational Autoencoders pytorch implementation
☆34Updated 9 months ago
Alternatives and similar repositories for treevae
Users that are interested in treevae are comparing it to the libraries listed below
Sorting:
- PhD Thesis☆34Updated last year
- Supervised Training of Conditional Monge Maps☆18Updated last year
- Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates☆23Updated last year
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- ☆17Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- ☆25Updated last year
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 4 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆54Updated last year
- Code for Diff-SCM paper☆98Updated 2 years ago
- ☆32Updated 2 years ago
- Dirichlet Diffusion Score Model for Biological Sequence Generation.☆54Updated 4 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 3 years ago
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆15Updated last year
- Contrastive neighbor embeddings☆54Updated 3 months ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆24Updated 2 years ago
- TorchDR - PyTorch Dimensionality Reduction☆130Updated this week
- ☆30Updated last year
- ☆33Updated 11 months ago
- ☆17Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated last year
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 9 months ago
- Active learning for optimal intervention design in causal models☆14Updated last year
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆30Updated 2 years ago
- Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch☆38Updated this week
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆81Updated 11 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆64Updated 4 months ago
- ☆25Updated 2 years ago