lauramanduchi / treevae
Tree Variational Autoencoders pytorch implementation
☆28Updated 5 months ago
Alternatives and similar repositories for treevae:
Users that are interested in treevae are comparing it to the libraries listed below
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆77Updated 7 months ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- TorchDR - PyTorch Dimensionality Reduction☆95Updated 3 weeks ago
- Code for Diff-SCM paper☆94Updated last year
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆30Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆128Updated last year
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆104Updated last year
- Contrastive neighbor embeddings☆52Updated 3 weeks ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 6 months ago
- ☆17Updated last year
- ☆17Updated last year
- ☆23Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆84Updated 2 years ago
- Differentiable Top-k Classification Learning☆79Updated 2 years ago
- Diffusion Models for Causal Discovery☆85Updated last year
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆51Updated last year
- Code for Neural Manifold Clustering and Embedding☆58Updated 2 years ago
- Repository for ICLR'23 Long-tailed Learning Requires Feature Learning☆10Updated 2 years ago
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆31Updated 6 months ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆44Updated 4 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆82Updated 2 years ago
- Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates☆23Updated last year
- ☆29Updated 7 months ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆25Updated 3 years ago
- Supervised Training of Conditional Monge Maps☆16Updated last year
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆41Updated last year
- An annotated implementation of the Hyena Hierarchy paper☆32Updated last year