robert-giaquinto / gradient-boosted-normalizing-flowsLinks
We got a stew going!
☆27Updated 2 years ago
Alternatives and similar repositories for gradient-boosted-normalizing-flows
Users that are interested in gradient-boosted-normalizing-flows are comparing it to the libraries listed below
Sorting:
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Regularized Neural ODEs (RNODE)☆81Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 7 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆121Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆28Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Updated 3 years ago
- Implementation of the Convolutional Conditional Neural Process☆127Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated 7 years ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 5 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆26Updated 5 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 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
- ☆150Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Convex potential flows☆84Updated 4 years ago
- ☆22Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 7 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