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Name: Xiaohan WU

Type: User

Company: Hong Kong University of Science and Technology(Guangzhou)

Bio: I am a Mphil student at the Hong Kong University of Science and Technology (Guangzhou), majoring in AI, and interested in LLM and 3D reconstruction

Xiaohan WU's Projects

--with-comments-and-explanation-ikaruga0508-tianchi_news_pub- icon --with-comments-and-explanation-ikaruga0508-tianchi_news_pub-

所有代码全部来自https://github.com/ikaruga0508/tianchi_news_pub 我只是写了代码解析 这个项目的原始代码是tianchi_news_pub-main ,你下载后在你电脑上用cmd 运行 pyhon main.py就可以看到整个建模和预测的过程。在我电脑上运行成功了,亲测可用。 我的注释版 在 notebook_注释解释版 文件夹。如果你不熟悉作者的代码结构可以查看这个文件“main(有注释解释).ipynb”,里面有对代码结构的解析。 每个.py文件我都尽可能写了注释。很多功能我不太懂。我会后面继续看,把我弄懂的补充上

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

coursera-ml-andrewng icon coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

eventstudy icon eventstudy

Event Study package is an open-source python project created to facilitate the computation of financial event study analysis.

eventstudy-1 icon eventstudy-1

R package and guide for performing event studies with heterogeneous dynamic effects.

finrl icon finrl

FinRL: Financial Reinforcement Learning. 🔥

langchain-chatglm icon langchain-chatglm

langchain-ChatGLM, local knowledge based ChatGLM with langchain | 基于本地知识库的 ChatGLM 问答

libgdx icon libgdx

Desktop/Android/HTML5/iOS Java game development framework

llama icon llama

Inference code for LLaMA models

llama-factory icon llama-factory

Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM2)

llm-eval-survey icon llm-eval-survey

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

machine-learning-in-action icon machine-learning-in-action

个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修改,以及注释

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