PyTorch implementation of AVF
☆45Sep 2, 2020Updated 5 years ago
Alternatives and similar repositories for amortized-variational-filtering
Users that are interested in amortized-variational-filtering are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Variational Reinforcement Learning☆18Jul 25, 2024Updated 2 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Feb 16, 2023Updated 3 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆11May 22, 2020Updated 6 years ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Sep 2, 2022Updated 3 years ago
- Hierarchical Change-Point Detection☆17Oct 25, 2018Updated 7 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.
- Implementation of iterative inference in deep latent variable models☆45Aug 21, 2019Updated 6 years ago
- Implementation of the DIVA model of speech acquisition and production using PyTorch☆23Jan 18, 2023Updated 3 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Jan 29, 2024Updated 2 years ago
- Based on https://github.com/fatchord/WaveRNN☆24May 3, 2020Updated 6 years ago
- List of papers about TTS / Список статей о TTS☆10Dec 16, 2017Updated 8 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆27May 3, 2021Updated 5 years ago
- Codes for Hilbert space reduced-rank GP regression☆16Jul 30, 2019Updated 6 years ago
- Code for "Probabilistic Neural Programmed Networks for Scene Generation.", Deng et al, NIPS 2018☆39Jul 25, 2024Updated 2 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Sep 11, 2019Updated 6 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.
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.☆11Jul 1, 2017Updated 9 years ago
- ☆12Mar 1, 2022Updated 4 years ago
- blog☆18Sep 10, 2018Updated 7 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 5 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Jul 1, 2020Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆18Jun 25, 2021Updated 5 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.
- ☆10May 13, 2025Updated last year
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64May 27, 2016Updated 10 years ago
- ☆67Jun 25, 2021Updated 5 years ago
- Python implementation of the img2net algorithm.☆10Jan 7, 2026Updated 6 months ago
- bumble bee transformer☆14Apr 19, 2021Updated 5 years ago
- Deep Multi-Speech model☆11Jul 25, 2018Updated 8 years ago
- Contrastive Language-Audio Pretraining☆15May 18, 2021Updated 5 years ago
- ☆13Mar 12, 2023Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"☆12Feb 11, 2019Updated 7 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Apr 8, 2021Updated 5 years ago
- Simple Importance Weighted Autoencoders (IWAE) implementation in Pytorch☆15Jun 17, 2025Updated last year
- ☆31Nov 7, 2018Updated 7 years ago
- Reweighted Expectation Maximization☆29Jun 14, 2019Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Scalable Factorized Hierarchical Variational Autoencoders…☆53Apr 11, 2018Updated 8 years ago