cedar33

cedar33

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Location:中国

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cedar33's repositories

bert_ner

基于bert的ner,使用bilstm+crf

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roberta-crf

a graceful method to apply crf into reberta model for sentence labeling task

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PURE_ace05zh

pure name entity recognition model for ace2005 Chinese

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BERTweet

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

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basic_theory_of_dl

some basic theory of deep learning with python code and matplotlib

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bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

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BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

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congress-legislators

Members of the United States Congress, 1789-Present, in YAML/JSON/CSV, as well as committees, presidents, and vice presidents.

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core

:house_with_garden: Open source home automation that puts local control and privacy first.

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CPM-Finetune

Finetune CPM

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DataCLUE

DataCLUE: 国内首个以数据为中心的AI测评(含模型分析报告)

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DeBERTa

The implementation of DeBERTa

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deepdetect

Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

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DL_EventExtractionPapers

2015年以来基于深度学习方法的事件抽取论文整理

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frontend

:lollipop: Frontend for Home Assistant

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lihang-code

《统计学习方法》的代码实现

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Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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MachineLearning-1

Machine learning algorithms implemented by pure numpy

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neovis.js

Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.

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numpy-ml

Machine learning, in numpy

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PreSumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

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PURE

NAACL'2021: A Frustratingly Easy Approach for Entity and Relation Extraction

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t5_in_bert4keras

整理一下在keras中使用T5模型的要点

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text-to-text-transfer-transformer

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

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transformers

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

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trojan-go

Go实现的Trojan代理,支持多路复用/路由功能/CDN中转/Shadowsocks混淆插件,多平台,无依赖。A Trojan proxy written in Go. An unidentifiable mechanism that helps you bypass GFW. https://p4gefau1t.github.io/trojan-go/

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