e-hulten / maf
PyTorch implementation of the Masked Autoregressive Flow
☆24Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for maf
- Masked Autoregressive Flow☆204Updated 3 months ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 4 years ago
- Pytorch implementation of Neural Processes for functions and images☆225Updated 2 years ago
- A Pytorch Implementation of Attentive Neural Process☆73Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 4 years ago
- ☆22Updated 3 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 4 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆144Updated 2 months ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆272Updated 11 months ago
- Discrete Normalizing Flows implemented in PyTorch☆107Updated 3 years ago
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆17Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆30Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆25Updated 6 months ago
- Code for Neural Spline Flows paper☆259Updated 4 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆116Updated 11 months ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆176Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆49Updated 3 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- The collection of recent papers about variational inference☆84Updated 5 years ago
- Implementation of the Convolutional Conditional Neural Process☆121Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆89Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆90Updated 7 months ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆203Updated 5 months ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- Experiments for Neural Flows paper☆87Updated 2 years ago