YuntianChen / EnLSTMView external linksLinks
Ensemble long short-term memory. A gradient-free neural network that combines ensemble neural network and long short-term memory.
☆24Jun 26, 2021Updated 4 years ago
Alternatives and similar repositories for EnLSTM
Users that are interested in EnLSTM are comparing it to the libraries listed below
Sorting:
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆24Oct 17, 2019Updated 6 years ago
- ☆16May 4, 2021Updated 4 years ago
- ☆16Apr 6, 2022Updated 3 years ago
- This repository implements Distilled Graph Attention Policy Networks (DGAPNs), a curiosity-driven reinforcement learning model to generat…☆21Jan 21, 2022Updated 4 years ago
- KDD21 Deep Learning Embeddings for Data Series Similarity Search☆20Aug 5, 2021Updated 4 years ago
- A collection of public time series data for machine learning research and modeling.☆29Aug 21, 2023Updated 2 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆29Oct 21, 2019Updated 6 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆64Jun 13, 2024Updated last year
- Code for my master thesis on hierarchical probabilistic forecasting of smart meter time series using weather input.☆11Aug 21, 2022Updated 3 years ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆34Feb 16, 2020Updated 5 years ago
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huip…☆29Aug 28, 2025Updated 5 months ago
- Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.☆30Jul 9, 2020Updated 5 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Apr 12, 2019Updated 6 years ago
- BUAA-2021深度学习中作业☆31May 2, 2021Updated 4 years ago
- ☆10Dec 10, 2021Updated 4 years ago
- Implementation of Dynamic Computation Offloading Control Logic in a Software-Defined Vehicle (SDV) System☆11Dec 19, 2024Updated last year
- 单纯形法,运输问题的Python简单实现。最优化方法课程作业,设计一个可以运行的平台软件,可以选择单纯形、运输问题求解。☆14Jan 5, 2021Updated 5 years ago
- Simple Python Programming using Springer Metadata API, Scopus Search API, Elsevier Abstract Retrieval API to cache and analyze abstract☆10Jan 20, 2017Updated 9 years ago
- Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data☆33Sep 24, 2020Updated 5 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆32Jun 5, 2021Updated 4 years ago
- A multi-site water quality prediction model incorporating adaptive graph convolution and CNN-LSTM☆14Sep 17, 2022Updated 3 years ago
- a Federated Learning Framework adapted for resource-constrained environments, focusing on IoT devices☆10Oct 6, 2025Updated 4 months ago
- Stock Price Prediction using CNN-LSTM☆91Jan 20, 2020Updated 6 years ago
- A GIS powered study to check whether China is to blame for the air pollution in South Korea.☆12Sep 8, 2019Updated 6 years ago
- Bayesian optimization based on Gaussian processes☆12Dec 2, 2022Updated 3 years ago
- Protect workers with TensorFlow Hard Hat object detection model on a Jetson Nano☆10Sep 27, 2022Updated 3 years ago
- Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algori…☆12Dec 6, 2021Updated 4 years ago
- My undergraduate final project - Modeling and control of a distillation column using neural networks and reinforcement learning.☆12Apr 28, 2020Updated 5 years ago
- This operator will manage and configure data processing unit (DPUs) to be used in accelerating/offloading k8s networking functions☆12Jan 10, 2026Updated last month
- This project implements two dynamic spatiotemporal interpolation (DST) methods, i.e., coarse-grained DST (CGDST) and fine-grained DST (FG…☆11Apr 15, 2022Updated 3 years ago
- Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid☆10Jan 3, 2023Updated 3 years ago
- This is a DQN-based recommendation system for item-list recommendation and it finally achieved second place in the competition of RL-base…☆11Oct 8, 2021Updated 4 years ago
- this repository contains the scripts necesary to calculate PV electricity generation from ERA5-land data and for the validation against m…☆12Feb 12, 2021Updated 5 years ago
- ☆12Nov 10, 2025Updated 3 months ago
- Deep Reinforcement Learning based Autonomous Driving Agents☆10Jul 7, 2022Updated 3 years ago
- Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"☆14Oct 23, 2024Updated last year
- This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"☆10Mar 2, 2022Updated 3 years ago
- Algo options trading using machine learning.☆14Jul 16, 2021Updated 4 years ago