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Lists (11)
benchmark
模型的benchmarks1 repository
Bert-based model
1 repository
Dashboard
1 repository
DEA model
一些与DEA模型相关的代码1 repository
dynamic graph
Papers about dynamic graphs1 repository
Former系列的模型
一些与Former相关的模型，后续可以继续研究一下9 repositories
Game theory
some models related to RL-based game theory1 repository
✨ Inspiration
1 repository
Starred repositories
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Use NLP to predict stock price movement associated with news
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
Stock Price Prediction using Machine Learning Techniques
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
Chess reinforcement learning by AlphaGo Zero methods.
EPFL Machine Learning Course, Fall 2024
Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
An end-to-end deep learning model for spatial-temporal prediction
Code release for "TrajBERT: BERT-Based Trajectory Recovery with Spatial-Temporal Refinement for Implicit Sparse Trajectories"
Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
Multivariate Time Series Transformer, public version
A Library for Advanced Deep Time Series Models.
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
Pytorch Geometric Tutorials
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.