vdeborto / lab-session-generative-modelingLinks
Lab session of the course generative modeling
☆15Updated 2 years ago
Alternatives and similar repositories for lab-session-generative-modeling
Users that are interested in lab-session-generative-modeling are comparing it to the libraries listed below
Sorting:
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆30Updated 11 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆57Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- Implementation of Action Matching☆51Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆43Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆42Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆125Updated 2 years ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆54Updated 9 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆13Updated last year
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆55Updated 5 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆36Updated 2 months ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆82Updated last year
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆50Updated 7 months ago
- ☆39Updated 2 weeks ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆152Updated 2 months ago
- Stochastic Normalizing Flows☆79Updated 4 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 4 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 3 years ago
- Code for "Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory," NeurIPS, 2021.☆19Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Perceiver (transformer variant) implemented in JAX and Flax☆13Updated 4 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆30Updated 2 years ago
- ☆32Updated last year
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago