Xiang LIU's repositories
Dominic789654.github.io
Dom homepage
AR-LSAT
Experiment for lsat
ArchVizD3
d3.js
collie
Collaborative Tuning of Large Language Models in an Efficient Way
datawhale_lee_ML_note
datawhale 李宏毅 《机器学习》 笔记
FastChat
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
InstructGLM
ChatGLM-6B 指令学习|指令数据|Instruct
joyful-pandas
pandas中文教程
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
LOMO
LOMO: LOw-Memory Optimization
MeZO
MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
TianChi_Note
Learning notes
transferlearning-tutorial
《迁移学习简明手册》LaTex源码
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