XiaoFei's starred repositories
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
nanoGPT-lecture
This nanoGPT-lecture code git, including Andrej Karpathy's nanoGPT, ng-vedio-lecture, gpt_dev.ipynb and my learning notes. Welcome to like and follow
llama3-Chinese-chat
Llama3 中文仓库(聚合资料,各种网友及厂商微调、魔改版本有趣权重 & 训练、推理、评测、部署教程视频 & 文档)
llama3-from-scratch
llama3 implementation one matrix multiplication at a time
annotated-transformer-Chinese
Transformer论文Attention is All You Need的代码中文注释实现,翻译自harvardnlp/annotated-transformer
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
BaiduAOISpider
POI-based Baidu map AOI (area of interest)/ vector boundary data crawler, results can be exported to shp/shapefile spatial data. 百度地图 AOI 爬虫
LLaMA-Factory
Unify Efficient Fine-Tuning of 100+ LLMs
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
Langchain-Chatchat
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain
P-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
qgis_molusce
Modules for Land Use Change Simulations
urban-lu-model
A land use model based on Cellular Automata and Agent-based modelling.
Growing-Neural-Cellular-Automata
A reproduction of growing neural cellular automata using PyTorch.
Mixed_Cell_Cellullar_Automata
The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the analysis of static patterns. One of the biggest advantages of mixed-cell CA models is the capability of simulating the quantitative and continuous changes of multiple landuse components inside cells.