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配电网负荷预测,BP神经网络,Cart决策树,GDBT,CatBoost
整理知识图谱相关学习资料
中文整理的强化学习资料(Reinforcement Learning)
A curated list of resources dedicated to table recognition
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Making big AI models cheaper, easier, and more scalable
This is the first released system towards complex meters` detection and recognition, which is implemented by computer vision techniques.
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Repo with large LFS files, this time with another go.mod to prune
A complete daily plan for studying to become a Google software engineer.
Code for ACL 2019 paper "Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs"
身份证信息识别&&头像提取API
《精通数据科学:从线性回归到深度学习》视频课程的配套资料
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
使用多种算法(线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM)进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power system load forecasting / power forecasting.
线性回归、岭回归、多项式回归、决策树回归、Ada_Boost回归、GBDT回归、随机森林回归、nltk基于词袋模型的邮件分类
some classic models+BERT implements in RACE and SQuAD dataset using Pytorch
百度网盘AI大赛——图像处理挑战赛:文档图像摩尔纹消除第七名方案
Text2SQL 语义解析数据集、解决方案、paper资源整合项目
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
Natural Language Processing Tutorial for Deep Learning Researchers
使用python-opencv识别图片中的表格数据转换为csv
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
A high-performance distributed training framework for Reinforcement Learning
机器学习预测模型,分别用逻辑回归,决策树,随机森林,神经网络,XGBOOST和支持向量机算法建模,交叉验证,并选出AUC最优的模型。特征工程优化后,AUC值达到0.8259
Geometric Deep Learning Extension Library for PyTorch
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.