xinyyhu

Midas2OpenSEES

Midas模型转换成OpenSEES模型，并实时显示。

practice-in-paddle

《神经网络与深度学习》案例与实践

Reactive-Resume

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

Sap2OpenSees

Data Transmission from Sap2000 to OpenSees

RTSF

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

nlp_notes

自然语言处理学习笔记：机器学习及深度学习原理和示例，基于 Tensorflow 和 PyTorch 框架，Transformer、BERT、ALBERT等最新预训练模型及源代码详解，及基于预训练模型进行各种自然语言处理任务。模型部署

Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

iTransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

PatchTST

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

LTSF-Linear

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

LightTS

Code for the paper "LightTS: Lightweight Time Series Classification with Adaptive Ensemble"

ETSformer

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Nonstationary_Transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

FEDformer

Pyraformer

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Informer2020

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

Koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

NeurIPS2022-FiLM

Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

MICN

Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)

Crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

app_deep_learning

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

Deep-Learning-Experiments

Videos, notes and experiments to understand deep learning

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

LSTM-time-series-forecasting

Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data

Pytorch-Transfomer

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

influenza_transformer

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

blog

Public repo for HF blog posts

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Transformer_Time_Series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)