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huzuoliang's Projects

adan icon adan

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

awesome-chinese-llm icon awesome-chinese-llm

整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

chatglm-finetuning icon chatglm-finetuning

基于ChatGLM-6B模型,进行下游具体任务微调,涉及Freeze、Lora、P-tuning等

clickmodels icon clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and

deep_learning_estimator_labels icon deep_learning_estimator_labels

深度学习,针对多目标任务,在推荐算法的ctr预估等场景中的应用,项目使用tensorflow estimator进行封装,包括esmm、mmoe模型

leetcode-py icon leetcode-py

⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,750+ 道「LeetCode 题目」详细解析,200 道「大厂面试热门题目」。

llm-llmzoo icon llm-llmzoo

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

luotuo-chinese-llm icon luotuo-chinese-llm

骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

mecod icon mecod

The code for “Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction." in ACL2023 Findings

minbpe icon minbpe

Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

mtl icon mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

nlp-interview-notes icon nlp-interview-notes

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料,该资料目前包含 自然语言处理各领域的 面试题积累。

papers icon papers

papers we read about Recommendation Advertising & Search

recsyspapers icon recsyspapers

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

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