vdeborto / lab-session-generative-modeling
Lab session of the course generative modeling
☆14Updated 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
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- ☆17Updated last year
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆28Updated last month
- Official implementation of Deep Momentum Schrödinger Bridge☆24Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning☆15Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Implementation of Action Matching☆40Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆39Updated 2 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- ☆18Updated last year
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Fork of the E2CNN library that adds support for equivariant partial differential operators☆17Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- Code for NeurIPS 2024 paper: "Noether's razor: Learning Conserved Quantities" by Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de H…☆10Updated 5 months ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70Updated 10 months ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆27Updated last year
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆35Updated 4 months ago
- Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"☆47Updated 7 months ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆56Updated last year