FXLP

MarkTool

DoTAT 是一款基于web、面向领域的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持迭代标注、嵌套实体标注和嵌套事件标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验、自动合并和手动调整，提高了标注结果的准确率。

Proposal_System

this is a proposal system.

A-Survey-on-Neural-Data-to-Text-Generation

A Survey on Neural Data-to-Text Generation

Web

前端入门和进阶学习笔记，超详细的Web前端学习图文教程。从零开始学前端，做一名精致的前端工程师。持续更新...

autoprompt

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

BELLE

BELLE: Bloom-Enhanced Large Language model Engine（开源中文对话大模型-70亿参数）

bert4keras

keras implement of transformers for humans

ChatDoctor

CLGE

Chinese Language Generation Evaluation 中文生成任务基准测评

ControlPrefixes

Repository accompanying Imperial MSc Computing (Machine Learning & A.I) Thesis

CoT-Planner

CoT-Planner: Chain-of-Thoughts as the Content Planner for Few-shot Table-to-Text Generation Reduces the Hallucinations from LLMs

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

dart

data2text-bioleaflets

Biomedical Data-to-Text Generation via Fine-Tuning Transformers

data2text-seq-plan-py

Code for TACL 2022 paper on Data-to-text Generation with Variational Sequential Planning

DualEnc

Codebase for DualEnc (ACL-20)

Flat-Lattice-Transformer

code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

incubator-echarts

A powerful, interactive charting and visualization library for browser

ir_datasets

Provides a common interface to many IR ranking datasets.

KELM-corpus

MyGallery

个人图库

plms-graph2text

Investigating Pretrained Language Models for Graph-to-Text Generation

PrefixTuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Python

All Algorithms implemented in Python

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

t5_in_bert4keras

整理一下在keras中使用T5模型的要点

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

WebGL-Fluid-Simulation

Play with fluids in your browser (works even on mobile)