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 9 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 6 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Nov 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
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Mar 17, 2020Updated 6 years ago
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 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
- Lecture Notes (with exercises) for Basic Probability course at University of Amsterdam☆17Sep 7, 2018Updated 7 years ago
- This repo is for residual-connected sentence encoder for NLI.☆11Jan 21, 2018Updated 8 years ago
- ☆12Jun 5, 2015Updated 11 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 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
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆18Jun 25, 2021Updated 5 years ago
- ☆10Jun 3, 2019Updated 7 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 7 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆45Jan 13, 2019Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Nov 3, 2017Updated 8 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆423Mar 21, 2024Updated 2 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆17Oct 22, 2020Updated 5 years ago
- A collection of IPython Notebooks containing my research.☆20Aug 21, 2018Updated 7 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
- An efficient method for the conversion from internal to Cartesian coordinates that utilizes the platform-agnostic JAX Python library.☆21Jun 12, 2024Updated 2 years ago
- Probabilistic Programming eXecution protocol (PPX)☆79Mar 16, 2022Updated 4 years ago
- ☆64Sep 29, 2020Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Dec 27, 2017Updated 8 years ago
- ☆13Oct 15, 2023Updated 2 years ago
- Code to reproduce paper results (or as close as possible, depending on data-availability). Each publication has a Jupyter notebook. Mostl…☆12Mar 8, 2024Updated 2 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 for "Deconvolution-Based Global Decoding for Neural Machine Translation" (COLING 2018).☆26Nov 22, 2018Updated 7 years ago
- ☆11Nov 8, 2023Updated 2 years ago
- ☆11Sep 23, 2023Updated 2 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆16Jun 22, 2019Updated 7 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- SVGD implementation☆12Jul 23, 2018Updated 7 years ago
- TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"☆53Sep 16, 2019Updated 6 years ago