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Name: tony
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用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库;24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
pytorch implementation for the CAMP model in ICDM 2019 "CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare"
CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"
Enhancing Targeted Minority Class Prediction in Sentence-level Relation Extraction
naturalizer Feature Engineing
Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"
Information Extraction from Visually Rich Documents (Form-like Documents)
[Findings of EMNLP 2022] Code of paper Generative Prompt Tuning for Relation Classification. https://arxiv.org/abs/2210.12435
An easy-to-use library for GLU (Gated Linear Units) and GLU variants in TensorFlow.
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。
This is the official code repository of ICLR 2023 Tiny Paper, "Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention".
Implementation of Document-level Relation Extraction with Knowledge Distillation and Adaptive Focal Loss
Key-Value Memory Networks for Directly Reading Documents, Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston https://arxiv.org/abs/1606.03126
LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classification
This repository is pytorch version implement of LRU from the paper "Resurrecting Recurrent Neural Networks for Long Sequences" (https://arxiv.org/abs/2303.06349), which is based on tf version by @bojon
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Implementation for Paper "Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction"
Code for: "Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models"
Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.
A network-based feature extraction method for solving the problem of text data imbalance
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.