implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
☆100Mar 21, 2025Updated last year
Alternatives and similar repositories for attentive-neural-processes
Users that are interested in attentive-neural-processes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆21Aug 6, 2019Updated 7 years ago
- A Pytorch Implementation of Attentive Neural Process☆76May 3, 2019Updated 7 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆240Jun 12, 2024Updated 2 years ago
- Implementation of the Convolutional Conditional Neural Process☆130May 17, 2021Updated 5 years ago
- This is the official source code for Sequential Neural Processes.☆41Dec 8, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Pytorch implementation of Neural Processes for functions and images☆240Feb 8, 2022Updated 4 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,026Jan 19, 2021Updated 5 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- Abliterator (llm behavior/concept removal) with baukit, not transformerlens☆11Feb 21, 2026Updated 7 months ago
- A variable speed limit control algorithm designed with the Soft Actor-Critic reinforcement learning.☆17May 9, 2026Updated 5 months ago
- GRU‐based Seq2seq Attention (GSA) model for streamflow prediction.☆10Oct 26, 2023Updated 2 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting☆33Jul 27, 2020Updated 6 years ago
- PyTorch implementation of Neural Processes☆89Feb 17, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆54Jan 1, 2020Updated 6 years ago
- A repository for using the distributed information bottleneck to locate information in data☆17Aug 26, 2024Updated 2 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Jul 7, 2020Updated 6 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Oct 8, 2018Updated 8 years ago
- Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets☆14Nov 7, 2023Updated 2 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Nov 8, 2021Updated 4 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 5 years ago
- AlphaZero for continuous control tasks☆23Dec 7, 2022Updated 3 years ago
- ☆16Oct 24, 2022Updated 3 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.
- This repository is for a research project at Cairo University, computer engineering department.☆14Jan 14, 2022Updated 4 years ago
- Continual Gaussian Processes☆32Jul 6, 2023Updated 3 years ago
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- Fast Gradient Sign Method and Iterative Least-Likely Class, using LeNet and DenseNet in PyTorch☆10Nov 18, 2019Updated 6 years ago
- Neural Diffusion Processes☆84Aug 4, 2024Updated 2 years ago
- EEMD、LSTM、time series prediction、DO、Deep Learning☆90Aug 29, 2026Updated last month
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 4 years ago
- OceanBench - SSH edition☆23Feb 5, 2024Updated 2 years ago
- Fourier Spatial-Temporal Network for Multivariate Time Series Forecasting☆11Jan 1, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Forecasting task. Predicting temperatures from sensors data.☆12Jan 12, 2019Updated 7 years ago
- An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks☆14Oct 22, 2021Updated 4 years ago
- In this repository i have implemented various Deep Learning multivariate and multiheaded time series forecasting models . Apart from that…☆22Sep 17, 2020Updated 6 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆24Jan 14, 2020Updated 6 years ago
- Federated Self-Training for Data-Efficient Audio Recognition☆10May 7, 2022Updated 4 years ago
- Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.☆173Oct 29, 2022Updated 3 years ago
- ☆40May 20, 2021Updated 5 years ago