(Shawn) Yuxuan Tong's repositories
Awesome-LLM-Research
Curation of resources for LLM research.
Awesome-LLM4Math
Curation of resources for LLM mathematical reasoning.
sample-difficulty-adaptive-tuning
Code from project *Sample-Difficulty-Adaptive Supervised Fine-Tuning for Mathematical Reasoning* at course ANN-23F@THU-CST
gpu-monitor-with-executor-and-email
Script that monitors GPU usage on a machine and executes jobs&sends emails when GPUs are available
OS-2023A-Ex7-1-eBPF
Answer Repo to Ex7.1 @ THU-CST OS-2023A (by Prof. Xiang Yong)
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
csapp
个人整理的《深入理解计算机系统》中文电子版（原书第 3 版）与实验材料：https://hansimov.gitbook.io/csapp/
ImageReward
ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
ImageReward-in-SD-Web-UI
Extra files for Hugging Face Space "ImageReward-in-SD-Web-UI"
instructor-embedding
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
ODH
A chrome extension to show online dictionary content.
stable-diffusion-webui
Stable Diffusion web UI
Tong-Yuxuan-s-Blog-Based-on-NotionNext
一个使用 NextJS + Notion API 实现的，部署在 Vercel 上的静态博客系统。为Notion和所有创作者设计。
nbdev-hello-world
nbdev hello world
nbdev-test
Test repo for nbdev
OlympiadBench
An Olympiad-level bilingual multimodal scientific benchmark, featuring 8,952 questions from Olympiad-level mathematics and physics competitions, including the Chinese college entrance exam.
openai-cookbook
Examples and guides for using the OpenAI API
OS-2023A-Ex3-1-print-stackframe-uCore-Edition
THU-CST OS-2023A（向勇老师开设）的课后练习 Ex3.1 的解答仓库
OS-2023A-Ex4-1-uCore-batch-OS-procedure-analysis
Answer to THU-CS OS-2023A-Ex4-1 uCore batch OS procedure analysis
OS-2023A-Ex6-1-Secondary-Page-Table
THU-CST OS-2023A（向勇老师开设）的课后练习 Ex6.1 “二级页表”的解答仓库
OS-Ex8-1-Python-Simulated-File-System
Answer Repo to Ex8.1 Python-Simulated File System @ THU-CST OS-2023A (by Prof. Yong Xiang)
qlora
QLoRA: Efficient Finetuning of Quantized LLMs
tongyx361.github.io
(Shawn) Yuxuan Tong's Homepage
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs