Contains the implementation of the EDAIN and EDAIN-KL methods proposed in our paper. The research was also part of the thesis I wrote as part of my MSc in Statistics (Data Science) at Imperial College London
☆16Feb 19, 2024Updated 2 years ago
Alternatives and similar repositories for edain_paper
Users that are interested in edain_paper are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆13Mar 25, 2023Updated 3 years ago
- Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting☆14Mar 6, 2024Updated 2 years ago
- This repository contains the experiments related to a new and accurate tree-based global forecasting algorithm named, SETAR-Tree.☆23Jun 4, 2023Updated 2 years ago
- Hierarchical Forecasting at Scale☆16Mar 18, 2024Updated 2 years ago
- Official PyTorch implementation of OTiS: An open model for general time series analysis.☆17Feb 16, 2026Updated last month
- 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 and logs for Paper:Revisiting Attention for Multivariate Time Series Forecasting☆25Jul 29, 2024Updated last year
- ☆71Oct 7, 2025Updated 5 months ago
- This repository compares the performance of 8 different regression loss functions used in Time Series Forecasting using Temporal Fusion…☆25Feb 21, 2025Updated last year
- ☆15Feb 26, 2024Updated 2 years ago
- SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations☆15Jul 27, 2024Updated last year
- A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics☆14Jul 1, 2022Updated 3 years ago
- Testing and implementation of ML algorithms for the analysis of cryptocurrency trends.☆11Feb 20, 2024Updated 2 years ago
- Pytorch implementation of DeepLOB-ATT and DeepLOB-Seq2Seq from Multi Horizon Forecasting for Limit Order Books☆14Feb 4, 2023Updated 3 years ago
- ☆24Aug 2, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- ☆125Oct 26, 2022Updated 3 years ago
- Source code for Deep Partial Least Squares for Empirical Asset Pricing.☆15Jun 22, 2022Updated 3 years ago
- ☆25May 1, 2025Updated 10 months ago
- Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series☆14Aug 12, 2024Updated last year
- Parameter Efficient Deep Probabilistic Forecasting☆14Jan 8, 2022Updated 4 years ago
- ☆19Mar 25, 2024Updated 2 years ago
- 强化学习进行量化金融☆42Jul 20, 2022Updated 3 years ago
- Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network☆15Feb 25, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- This is the code for EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer☆17Jun 3, 2024Updated last year
- Distributional Gradient Boosting Machines☆28Dec 13, 2022Updated 3 years ago
- ☆13Jun 22, 2021Updated 4 years ago
- Emotion-Classification-by-EEG-DEAP-Dataset implemented in 2DCNNN-LSTM-1DCNN+GRU and the 1D_cnn+gru model gives the highest accuracy☆11May 26, 2023Updated 2 years ago
- ☆100Jun 12, 2025Updated 9 months ago
- ☆20Mar 10, 2025Updated last year
- This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…☆13Dec 7, 2023Updated 2 years ago
- Tabular data imputation and generation, with flexible modeling of quantitative features via hierarchical binning (TMLR, 2025)☆16Mar 10, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This repository is for the code of paper "Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning: Learn to …☆20Sep 24, 2024Updated last year
- Repository for the SPDTransNet model, a Transformer-based architecture to analyze sequences of SPD matrices without loss of their Riemann…☆36Oct 15, 2024Updated last year
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆98Dec 29, 2024Updated last year
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆19Sep 11, 2023Updated 2 years ago
- ☆21Oct 26, 2020Updated 5 years ago
- Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"☆31Sep 11, 2024Updated last year
- ☆16Oct 6, 2021Updated 4 years ago