necludov / oMCMCLinks
orbital MCMC
☆10Updated 4 years ago
Alternatives and similar repositories for oMCMC
Users that are interested in oMCMC are comparing it to the libraries listed below
Sorting:
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- ☆52Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 11 years ago
- Modular Gaussian Processes☆16Updated 4 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆46Updated 2 years ago
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- ☆22Updated 5 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- Stochastic Normalizing Flows☆78Updated 4 years ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆21Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Updated 4 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 3 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- ☆11Updated 4 years ago
- We got a stew going!☆27Updated 2 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 3 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Updated 5 years ago