HyxGit666's Stars
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
krahets/LeetCode-Book
《剑指 Offer》 Python, Java, C++ 解题代码,LeetBook《图解算法数据结构》配套代码仓
SalesforceAIResearch/uni2ts
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
nok-halfspace/Transformer-Time-Series-Forecasting
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
marcopeix/time-series-analysis
Collection of notebooks for time series analysis
Hank0626/PDF
An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
MAGICS-LAB/STanHop
[ICLR 2024] STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
Rose-STL-Lab/CopulaCPTS
Code for Copula conformal prediction paper (ICLR 2024)
ServiceNow/TACTiS
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
DC-research/TEMPO
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.
HyxGit666/Time-series-forecasting
Using MongoDB as database and Fastapi to achieve functions
takumiw/Time-Series-Demand-Forecasting
Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.
jiwidi/time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
chenzhizhi0822/2021EBU6305G08
BUPT & QMUL Year3 EBU6305 Group8