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sunshine866's Projects

ai-learn icon ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

chineseglue icon chineseglue

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

clue icon clue

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

few_shot_learning icon few_shot_learning

classical model code implementation of few-shot/one-shot lenaring, including siamese network, prototypical network, relation network, induction network

few_shot_learning-1 icon few_shot_learning-1

First, format a few shot text classification dataset.Second, replement some of few-shot-learning model with pytorch.Finally, run experiment with text classification dataset on the reimplemented model.

fewshotnlp icon fewshotnlp

The source codes of the paper "Improving Few-shot Text Classification via Pretrained Language Representations" and "When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification".

filetype icon filetype

Fast, dependency-free Go package to infer binary file types based on the magic numbers header signature

go-admin icon go-admin

基于Gin + Vue + Element UI的前后端分离权限管理系统脚手架(包含了:多租户的支持,基础用户管理功能,jwt鉴权,代码生成器,RBAC资源控制,表单构建,定时任务等)3分钟构建自己的中后台项目;文档:https://doc.go-admin.dev Demo: https://www.go-admin.dev Antd beta版本:https://preview.go-admin.dev

introduction-nlp icon introduction-nlp

HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

kg-2019 icon kg-2019

2019年百度的三元组抽取比赛,“科学空间队”源码

kratos icon kratos

A modular-designed and easy-to-use microservices framework in Go.

livespeechportraits icon livespeechportraits

Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation (SIGGRAPH Asia 2021)

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