Jingyi Zhou's repositories
Awesome-SLU-Survey
Tracking the progress in SLU (resources, code, and new frontiers etc.)
Co-guiding
Source code of our EMNLP 2022 paper: Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs
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
Awesome-LLM: a curated list of Large Language Model
Qwen-7B
The official repo of Qwen-7B (通义千问-7B) chat & pretrained large language model proposed by Alibaba Cloud.
ChatGLM2-6B
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
Co-RGCN
The open source codes for ICANN 2023 Paper "Co-RGCN: A Bi-path GCN-based Co-Regression model for Multi-intent Detection and Slot Filling".
CTran
Complete code for the proposed CNN-Transformer model for natural language understanding.
DCA-Net
Open source code for Paper "A Co-Interactive Transformer for Joint Slot Filling and Intent Detection"
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
hugging-llm
HuggingLLM, Hugging Future.
JointBERT
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
LLMs-In-China
**大模型
LLMsNineStoryDemonTower
【LLMs九层妖塔】分享 LLMs在自然语言处理（ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等 实战与经验。
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
MSIM-SOG
The open source codes for ICONIP 2023 Paper “A deep joint model of Multi-Scale intent-slots Interaction with Second-Order Gate for SLU”.
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
self-llm
基于AutoDL快速部署开源大模型，更适合**宝宝的部署教程
SLIM
Code for "SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling"
StackPropagation-SLU
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
UGEN
Incorporating Instructional Prompts into A Unified Generative Framework for Joint Multiple Intent Detection and Slot Filling - Coling2022(Oral))