Stars
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Curated academic CV templates and guidelines for PhD students, researchers, and faculty job applicants.
🏡 GitHub Pages template for personal academic homepage
This repository contains the code for the paper "ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction".
This repository contains the code for the paper "Percolation of temporal hierarchical mobility networks during COVID-19".
2026 AI/ML internship & new graduate job list updated daily
A curated collection of high-quality interview questions and answers for AI-related roles. This repository helps candidates understand how interviews differ across roles, not just memorize answers.
[NeurIPS 2025] RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
SGLang is a high-performance serving framework for large language models and multimodal models.
GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models
A final sanity checklist to help your CS paper get accepted, not desk rejected.
Awesome Time-Series and Spatio-Temporal Related
LibCity: An Open Library for Urban Spatial-temporal Data Mining
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
A Python package that uses task-based neurons to build neural networks.
A community-supported list of awesome data science resources relevant to SafeGraph data
Worldwide building footprints derived from satellite imagery
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Repository for benchmarking graph neural networks (JMLR 2023)
Matplotlib styles for scientific plotting
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.