code release for the NIPS 2016 paper
☆28Oct 21, 2016Updated 9 years ago
Alternatives and similar repositories for VRbound
Users that are interested in VRbound are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A tensorflow implementation of VAE training with Renyi divergence☆32Sep 14, 2016Updated 10 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆66Nov 14, 2019Updated 6 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Apr 30, 2017Updated 9 years ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for "Inference Suboptimality in Variational Autoencoders"☆16Mar 17, 2020Updated 6 years ago
- customized GPflow with simple Tensorflow API☆17Aug 7, 2019Updated 7 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Jan 18, 2019Updated 7 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Jun 21, 2022Updated 4 years ago
- This repo is for residual-connected sentence encoder for NLI.☆11Jan 21, 2018Updated 8 years ago
- ☆12Jun 5, 2015Updated 11 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated last year
- ☆10Nov 1, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 3 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Jul 20, 2018Updated 8 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆46Jan 13, 2019Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Nov 3, 2017Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 6 years ago
- ☆63Sep 29, 2020Updated 5 years ago
- ☆20Dec 13, 2023Updated 2 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Apr 23, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Dec 27, 2017Updated 8 years ago
- Code for "Deconvolution-Based Global Decoding for Neural Machine Translation" (COLING 2018).☆26Nov 22, 2018Updated 7 years ago
- ☆13Oct 15, 2023Updated 2 years ago
- Trust Region Policy Optimization (TRPO) in pure TensorFlow☆18Jun 7, 2018Updated 8 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆16Jun 22, 2019Updated 7 years ago
- TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"☆53Sep 16, 2019Updated 7 years ago
- Implementation of the variational continual learning method☆197May 7, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆209Jan 26, 2016Updated 10 years ago
- This is a repo for multiNLI_encoder.☆58May 25, 2018Updated 8 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆46Jun 14, 2021Updated 5 years ago
- LaTeX beamer template in corporate design of University of Amsterdam☆13Dec 7, 2015Updated 10 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Sep 25, 2019Updated 6 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 years ago
- Deep generative models for semi-supervised learning.☆109Nov 21, 2016Updated 9 years ago