KU-LIM-Lab / hdm-official
Official code release of Hilbert Diffusion Model (PyTorch ver.)
☆12Updated 6 months ago
Alternatives and similar repositories for hdm-official:
Users that are interested in hdm-official are comparing it to the libraries listed below
- Code release for "Stochastic Optimal Control Matching"☆30Updated 6 months ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- Pytorch implementation of neural processes and variants☆27Updated 7 months ago
- [ICLR 2022] Path integral sampler☆45Updated last year
- ☆38Updated last year
- Neural Diffusion Processes☆76Updated 7 months ago
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.☆19Updated last year
- ☆14Updated 6 months ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆30Updated 3 months ago
- The official implementation of Convergent Graph Solvers (CGS)☆21Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆59Updated 6 months ago
- Score-based generative models for compact manifolds☆108Updated last year
- ☆16Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 2 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- ☆23Updated 7 months ago
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆16Updated 2 weeks ago
- [ICML2022] Variational Wasserstein gradient flow☆20Updated 2 years ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated 11 months ago
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"☆13Updated 2 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆81Updated 3 years ago
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆23Updated 2 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆24Updated last year
- Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)☆16Updated 10 months ago
- A Tutorial for Diffusion Models☆45Updated last year
- ☆21Updated 2 years ago
- A minimalist implementation of score-based diffusion model☆122Updated 3 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆23Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆54Updated last year