Stars
CHARGED is a city-scale and harmonized dataset for global electric vehicle charging demand analysis.
A game theoretic approach to explain the output of any machine learning model.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
[ACM TIST] "LLM4Urban: Urban Computing in the Era of Large Language Models"
Transform geospatial relations into graphs for Graph Neural Networks and network analysis
Community list of transit APIs, apps, datasets, research, and software 🚌🌟🚋🌟🚂
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)
Information and resources to Quantitative Spatial Science research group
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
A high-throughput and memory-efficient inference and serving engine for LLMs
Production-ready platform for agentic workflow development.
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.
💫 Industrial-strength Natural Language Processing (NLP) in Python
A collection of research on spatio-temporal data mining