Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
awesome-AI-cheatsheets
AI与数据科学各类工具库速查表与参考代码
awesome-deep-time-series-representations
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
Awesome-DynamicGraphLearning
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Awesome-Learn-from-Model
Awesome Learn From Model Beyond Fine-Tuning: A Survey
PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
chengshifen's Repositories
chengshifen/awesome-deep-time-series-representations
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
chengshifen/Awesome-DynamicGraphLearning
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
chengshifen/Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
chengshifen/Awesome-Learn-from-Model
Awesome Learn From Model Beyond Fine-Tuning: A Survey
chengshifen/Awesome-Multimodal-Urban-Computing
chengshifen/Awesome-TimeSeries-SpatioTemporal-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
chengshifen/BasicTS
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
chengshifen/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
chengshifen/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
chengshifen/Deep_Learning_Weather_Forecasting
Deep Learning for Weather Forecasting, accepted applied data science of KDD 2019
chengshifen/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
chengshifen/easy-rl
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
chengshifen/joyful-pandas
pandas中文教程
chengshifen/LargeST
The official repository of the paper LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)
chengshifen/LLM-scientific-feedback
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
chengshifen/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
chengshifen/PaddleSpatial
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
chengshifen/pumpkin-book
《机器学习》（西瓜书）公式详解
chengshifen/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
chengshifen/so-large-lm
大模型基础: 一文了解大模型基础知识
chengshifen/spin
Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 2022)
chengshifen/ST-SSL
The codes of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".
chengshifen/TemporalMissing-Imputation2
chengshifen/Time-Series-Library
A Library for Advanced Deep Time Series Models.
chengshifen/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
chengshifen/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
chengshifen/TrAISformer
Pytorch implementation of TrAISformer---A generative transformer for AIS trajectory prediction (https://arxiv.org/abs/2109.03958).
chengshifen/transformer-explainer
Transformer Explained: Learn How LLM Transformer Models Work with Interactive Visualization
chengshifen/TSFpaper
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 type of model.
chengshifen/WeChatExtension-ForMac
Mac微信功能拓展/微信插件/微信小助手(A plugin for Mac WeChat)