google-deepmind / neural-processesLinks
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
☆1,003Updated 4 years ago
Alternatives and similar repositories for neural-processes
Users that are interested in neural-processes are comparing it to the libraries listed below
Sorting:
- Probabilistic Torch is library for deep generative models that extends PyTorch☆889Updated last year
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- PyTorch implementations of algorithms for density estimation☆584Updated 4 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆865Updated 5 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆642Updated 4 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆505Updated 4 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆554Updated 6 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,401Updated 4 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆832Updated 5 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,619Updated 3 years ago
- A simple probabilistic programming language.☆694Updated 2 months ago
- [NeurIPS'19] Deep Equilibrium Models☆750Updated 2 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆465Updated 6 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆219Updated 11 months ago
- Pytorch implementation of Augmented Neural ODEs☆541Updated 2 years ago
- Papers for Bayesian-NN☆323Updated 5 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆620Updated 3 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆351Updated 2 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆817Updated 3 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆652Updated 2 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆348Updated 7 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆365Updated 5 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,489Updated last year
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆465Updated last year
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆279Updated last year
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆757Updated last year