yikedouer Goto Github PK

-

-nlp-

51job

前程无忧 Python 招聘岗位信息爬取和分析

agriculture_knowledgegraph

农业知识图谱：农业领域的命名实体识别，实体解析，关系抽取，数据挖掘

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm-interview

经典算法&面试题的源代码实现项目

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

answer

基于本体的语义搜索引擎-Answer-V0.9　问答系统

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

beatles

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-ner-pytorch

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

bert-pytorch

Google AI 2018 BERT pytorch implementation

big-data-resources

大数据/数据挖掘/推荐系统/机器学习相关资源

carnd-vehicle-detection

Vehicle Detection Project

chaizi

漢語拆字字典

cluener2020

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

cnn-detection-tracking

python scripts for vehicle detection and tracking

comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

contextualsp

Multiple paper open-source codes of the Microsoft Research Asia DKI group

crawelpython

使用python语言编写的网络爬虫

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

deeplearning

KBQA和TensorFlow 学习的草稿本。平常心。苟有恒,何必三更眠五更起;最无益,莫过一日暴十日寒。

deeplearning-1

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

domain_qa

限定域问答系统包括：自动构建知识库、问句检索、基于微信平台搭建问答系统。本项目所有代码已开源。用户通过简单配置，可以实现快速自动化搭建一个比较完备的领域知识库。另外，基于微信平台如何通过配置来搭建问答系统，具体操作见readme.txt