Pinned Repositories
abc
Android--Skill
Summary of Android interview skills
Android-Framework
android framework，欢迎评论
Android-template
Universal template for Android project
Chain-of-ThoughtsPapers
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
CodeT
On the Advance of Making Language Models Better Reasoners
conv-emotion
This repo contains implementation of different architectures for emotion recognition in conversations.
PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
SICKNet
social-app
xing-wei-zeng's Repositories
xing-wei-zeng/SICKNet
xing-wei-zeng/abc
xing-wei-zeng/Android--Skill
Summary of Android interview skills
xing-wei-zeng/Android-Framework
android framework，欢迎评论
xing-wei-zeng/Android-template
Universal template for Android project
xing-wei-zeng/Chain-of-ThoughtsPapers
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
xing-wei-zeng/CodeT
On the Advance of Making Language Models Better Reasoners
xing-wei-zeng/conv-emotion
This repo contains implementation of different architectures for emotion recognition in conversations.
xing-wei-zeng/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
xing-wei-zeng/social-app
xing-wei-zeng/BookCity
阅读
xing-wei-zeng/ChatGPT-Java-FunAi
ChatGPT Java 基于SpringBoot的后端开源web项目，FunAi。支持OpenAI官方所有接口。无限轮聊天 + 带上下文逻辑 + 流式输出 / 普通输出。PDF解析 + Embedding API+ 递归分词文段抽取 + 文本向量化 + 向量语义匹配 + 召回知识库相似文本匹配。接入文生图模型MidJourney / Stable Diffusion Model
xing-wei-zeng/chatgpt-on-wechat
xing-wei-zeng/commonsense
xing-wei-zeng/DCSINet
xing-wei-zeng/demo
learn github
xing-wei-zeng/git-demo
test git
xing-wei-zeng/Gobang
Gobang
xing-wei-zeng/HKEmodel
The formal
xing-wei-zeng/IMMessager
即时通讯app
xing-wei-zeng/J2EE
保存一些自己学java的方法和重点内容
xing-wei-zeng/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
xing-wei-zeng/Python
python with simple item
xing-wei-zeng/simple
simple git
xing-wei-zeng/spring_boots
xing-wei-zeng/textclf
TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。