vdeborto / cdsbLinks
☆23Updated 2 years ago
Alternatives and similar repositories for cdsb
Users that are interested in cdsb are comparing it to the libraries listed below
Sorting:
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 7 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆48Updated last week
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- [ICML2022] Variational Wasserstein gradient flow☆22Updated 2 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- ☆32Updated 2 years ago
- ☆17Updated 3 years ago
- A minimalist implementation of score-based diffusion model☆127Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 10 months ago
- ☆22Updated 5 years ago
- ☆13Updated last year
- Neural Diffusion Processes☆80Updated 10 months ago
- Deep Generative Learning via Schrödinger Bridge☆23Updated 3 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 3 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆146Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 3 years ago
- ☆12Updated 2 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- ☆17Updated last year
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 3 years ago
- Code repository for Particle Denoising Diffusion Sampler☆14Updated last year
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 3 months ago