An Open-source, self-hosted AI model hub with Hugging Face compatibility, accelerating vLLM/SGLang performance.

transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Implementation for data driven prediction of battery cycle life before capacity degradation

This repository is transfered from the personal account of Dr. Zhognwei Deng (Michael Teng)

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers."

This repository contains the python code, redash image, and SQL queries to build a site like BatteryArchive.org on any Linux computer.

This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

深度学习经典、新论文逐段精读

Code for Nature energy manuscript

锂电池数据集 CALCE

Analysis for NASA data sets

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Code for paper "An end-to-end neural network framework for SOH estimation and RUL prediction of lithium battery"

State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM

Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset

[arXiv 2022] Trajectory Forecasting on Temporal Graphs