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wangxince's Projects

aialgorithm-blog icon aialgorithm-blog

Python机器学习算法技术博客,有原创干货!有code实践!

autogen icon autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

autolabel icon autolabel

Label, clean and enrich text datasets with LLMs.

chatdev icon chatdev

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

chatglm.cpp icon chatglm.cpp

C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & more LLMs

chatglm2-6b icon chatglm2-6b

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

chatglm3 icon chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

chinese-vicuna icon chinese-vicuna

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案,结构参考alpaca

cntext icon cntext

cntext is a text analysis package that provides semantic distance and semantic projection based on word embedding models. Besides,cntext also provides the traditional methods, such as word count , readability, document similarity, sentiment analysis, etc.

codegeex2 icon codegeex2

CodeGeeX2: A More Powerful Multilingual Code Generation Model

edu-bert icon edu-bert

好未来开源教育领域首个在线教学中文预训练模型TAL-EduBERT

fastchat icon fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.

fastgpt icon fastgpt

FastGPT is a knowledge-based QA system built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!

gaokao-bench icon gaokao-bench

GAOKAO-bench is an evaluation framework that utilizes GAOKAO questions as a dataset to evaluate large language models.

glm icon glm

GLM (General Language Model)

glm-130b icon glm-130b

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

gpt-sovits icon gpt-sovits

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

gpt_academic icon gpt_academic

为ChatGPT/GLM提供实用化交互界面,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。

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