dawn0713's Stars
time-series-foundation-models/lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
mims-harvard/UniTS
A unified multi-task time series model.
QwenLM/Qwen2
Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
salesforce/LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
starxingwang/AHSTGNN
Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
BorealisAI/scaleformer
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
cure-lab/SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
whai362/PVT
Official implementation of PVT series
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
yuqinie98/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
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
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
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
RobinLu1209/STAG-GCN
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
mingqian000/TrGNN
Traffic Flow Prediction with Vehicle Trajectories
fengdu78/lihang-code
《统计学习方法》的代码实现
Khrylx/AgentFormer
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
agrimgupta92/sgan
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
chuanting/FedDA
Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'
NVlabs/stylegan
StyleGAN - Official TensorFlow Implementation
abduallahmohamed/Social-STGCNN
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
jwwthu/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.