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使用预训练语言模型ALBERT做中文NER
A Lite Bert For Self-Supervised Learning Language Representations
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案
用BERT在百度WebQA中文问答数据集上做阅读问答
In first step , use BERT+CRF for trigger word recognition. then use recognized trigger word type and relative position for auxiliary information
BERT distillation(基于BERT的蒸馏实验 )
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
100+ Chinese Word Vectors 上百种预训练中文词向量
100G中文清洗后语料训练的gpt模型
TextCNN Pytorch实现 中文文本分类 情感分析
Code and Datasets of " CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation"
中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
ICLR 2024 CPPO: Continual Learning for Reinforcement Learning with Human Feedback
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A PyTorch implementation of DeepFM for CTR prediction problem.
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
Reproducing the code of "Direct Preference Optimization: Your Language Model is Secretly a Reward Model"
We start a company-name recognition task with a small scale and low quality training data, then using skills to enhanced model training speed and predicting performance with least artificial participation. The methods we use involve lite pre-training models such as Albert-small or Electra-small with financial corpus, knowledge of distillation and multi-stage learning. The result is that we improve the recall rate of company names recognition task from 0.73 to 0.92 and get 4 times as fast as BERT-Bilstm-CRF model.
使用ACE2005创建以事件和实体为节点的事件知识图谱,用于智能问答
Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
A Chinese Nature Language Toolkit
Check out the new game server:
Time Series Forecasting Best Practices & Examples
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
海量文本发现热点话题
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.