wassname / attentive-neural-processesLinks
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
☆94Updated 2 months ago
Alternatives and similar repositories for attentive-neural-processes
Users that are interested in attentive-neural-processes are comparing it to the libraries listed below
Sorting:
- ☆52Updated 5 years ago
- An encoder-decoder framework for learning from incomplete data☆46Updated last year
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆141Updated 2 years ago
- Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"☆88Updated 4 years ago
- Pytorch implementation of GRU-ODE-Bayes☆230Updated 3 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated 10 months ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆114Updated 2 years ago
- A Pytorch Implementation of Attentive Neural Process☆74Updated 6 years ago
- Contrastive Learning for Time Series☆38Updated 2 years ago
- (Under Review)☆67Updated 3 years ago
- Implementation of the Convolutional Conditional Neural Process☆123Updated 4 years ago
- ☆66Updated last year
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 6 months ago
- ☆18Updated 3 years ago
- GluonTS - Probabilistic Time Series Modeling in Python☆51Updated 3 years ago
- ☆23Updated 3 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…☆168Updated 5 years ago
- Repository of the ICML 2020 paper "Set Functions for Time Series"☆126Updated 4 years ago
- Learning error bars for neural network predictions☆70Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Experiments for Neural Flows paper☆95Updated 3 years ago
- Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*☆85Updated 4 months ago
- ☆82Updated 3 years ago
- Codes for Multi-Level Construal Neural Network framework☆48Updated 4 years ago
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- Bayesian Neural Network in PyTorch☆87Updated last year
- ☆29Updated 2 years ago
- Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf☆109Updated 5 years ago
- PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…☆26Updated 5 years ago