e-hulten / mafLinks
PyTorch implementation of the Masked Autoregressive Flow
☆29Updated 4 years ago
Alternatives and similar repositories for maf
Users that are interested in maf are comparing it to the libraries listed below
Sorting:
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
 - Masked Autoregressive Flow☆218Updated last year
 - Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
 - Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆226Updated last year
 - Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
 - ☆37Updated 5 years ago
 - Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
 - Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆124Updated 10 months ago
 - Sequential Neural Likelihood☆42Updated 6 years ago
 - A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
 - Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
 - Mixture density network implemented in PyTorch.☆151Updated 2 years ago
 - Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆63Updated 4 years ago
 - Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
 - Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
 - Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
 - Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
 - Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated last year
 - Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
 - ☆24Updated 4 years ago
 - 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
 - Stochastic Normalizing Flows☆78Updated 3 years ago
 - VAEs and nonlinear ICA: a unifying framework☆38Updated 5 years ago
 - Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 5 years ago
 - implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆98Updated 7 months ago
 - Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
 - Implementation of the Convolutional Conditional Neural Process☆126Updated 4 years ago
 - Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year
 - code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
 - Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆50Updated 2 months ago