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Awesome-Spatio-Temporal-Representation-Learning

Summary of Spatio-Temporal Representation Learning Models.

START

[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).

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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

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pybind11-rdp

C++ implementation of the Ramer-Douglas-Peucker algorithm (binding to python via pybind11)

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MMTEC

Implementation code for Maximum Multi-view Trajectory Entropy Coding (MMTEC), as proposed in the paper "Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding."

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ST2Vec

Source code for Spatio-Temporal Trajectory Similarity Learning in Road Networks. KDD 2022.

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fmm

Fast map matching, an open source framework in C++

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Bigscity-LibCity

LibCity: An Open Library for Urban Spatial-temporal Data Mining

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TrajCL

Contrastive Trajectory Similarity Learning with Dual-Feature Attention (TrajCL) - ICDE 2023

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awesome-free-chatgpt

🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.

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carrot

Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点

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go-proxy-bingai

用 Vue3 和 Go 搭建的微软 New Bing 演示站点，拥有一致的 UI 体验，支持 ChatGPT 提示词，国内可用。

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dbscan-python

Theoretically Efficient and Practical Parallel DBSCAN

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Parallelization-of-the-DBSCAN-Clustering-Algorithm-for-Spatial-Data-Mining-Based-on-Spark

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Parallel DBScan, loosely coupled, algorithm using the disjoint-set data structure. From Patwary, M. M. A., et al. The MAKEFILE has been fixed. The compile time errors have been fixed. The run time error; incorrectly numbering clusters; has been fixed.

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PrefixSpan-py

The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.

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gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

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