Pinned Repositories
AudioGPT
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
classification
分类任务
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Dialogue
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
gpt_academic
为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++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，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古等。
jieba
结巴中文分词
JointBERT
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
EchoMaster's Repositories
EchoMaster/AudioGPT
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
EchoMaster/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
EchoMaster/Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
EchoMaster/classification
分类任务
EchoMaster/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
EchoMaster/Dialogue
EchoMaster/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
EchoMaster/gpt_academic
为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++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，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古等。
EchoMaster/jieba
结巴中文分词
EchoMaster/JointBERT
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
EchoMaster/langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识的 ChatGLM 问答
EchoMaster/move
欧鹏机器人比赛物体搬运
EchoMaster/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
EchoMaster/tensorflow-in-depth
The repo of TensorFlow In Depth(2018).
EchoMaster/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
EchoMaster/WMseg-master