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 3 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- ☆52Updated 2 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Course Website☆9Updated 3 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated 2 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆20Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆12Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆22Updated 5 years ago
- Normalizing Flows using JAX☆84Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆34Updated 3 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆32Updated 6 years ago
- Bayesian algorithm execution (BAX)☆50Updated 3 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated last year
- Dive into Jax, Flax, XLA and C++☆31Updated 5 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆20Updated 3 years ago
- ☆15Updated 4 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 10 years ago
- Graph Convolutional Networks in JAX☆33Updated 4 years ago