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McGill University
- Montreal, Canada
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06:53
(UTC -05:00) - https://yihongt.github.io/
- https://scholar.google.com/citations?hl=zh-CN&user=9NyWAjAAAAAJ
- in/yihong-tang-6981331b2
- https://www.researchgate.net/profile/Yihong-Tang-2?ev=hdr_xprf
Stars
Scraper for Google Maps "Popular Times" for place entries
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 2h!
Wan: Open and Advanced Large-Scale Video Generative Models
[NeurIPS 2025 spotlight] Official implementation for "FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving"
GenExam: A Multidisciplinary Text-to-Image Exam
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
A list of semi to fully remote-friendly companies (jobs) in tech.
Awesome papers involving LLMs in Social Science.
李航统计学习方法(第二版)的学习笔记,包括:1、每章重点公式的手动推导 2、每章算法的Python自实现 3、学习过程中的笔记与心得 4、每章节的课后习题 5、每周都会按照至少一周一章的进度定时将自己的学习进度更新到这个仓库
repo for paper https://arxiv.org/abs/2504.13837
High-Resolution Image Synthesis with Latent Diffusion Models
Official PyTorch implementation for "Large Language Diffusion Models"
Vision–Language–Action models for Autonomous Driving (VLA4AD) resources, serving as the companion repository to the survey paper “A Survey on Vision–Language–Action Models for Autonomous Driving”.
Scaling Deep Research via Reinforcement Learning in Real-world Environments.
Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
Official implementation of Cold-Diffusion for different transformations in pytorch.
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
Optimization Modeling Using mip Solvers and large language models
Machine learning for transportation data imputation and prediction.