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Type: User
Company: JD
Bio: learner
Location: BeiJing
Type: User
Company: JD
Bio: learner
Location: BeiJing
此项目是我在学习《机器学习实战》这本书时的代码记录情况,用python实现,当然也会包括一些其他的机器学习算法,使用Python实现
Machine learning algorithms step by step with explanation
Basic Machine Learning and Deep Learning
My blogs and code for machine learning. http://cnblogs.com/pinard
目标检测指标mAP python测试代码实现
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MatConvNet: CNNs for MATLAB
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
公众号: 机器学习荐货情报局 所有代码
Minimal and clean examples of machine learning algorithms
Open MMLab Detection Toolbox and Benchmark
The Mongo Database
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
本项目实现了ocr主流算法gru/lstm+ctc+cnn架构,进行不定长度验证码识别,达到不分割字符而识别验证码内容的效果。验证码内容包含了大小字母以及数字,并增加点、线、颜色、位置、字体等干扰项。本项目对gru +ctc+cnn、lstm+ctc+cnn、cnn三种架构进行了对比,实践说明同等训练下gru/lstm+ctc+cnn架构准确率和速度均明显优于cnn架构,gru +ctc+cnn优于lstm+ctc+cnn,在实验2500个样本数据200轮训练时,gru +ctc+cnn架构在500样本测试准确率达90.2%。本项目技术能够训练长序列的ocr识别,更换数据集和相关调整,即可用于比如身份证号码、车牌、手机号、邮编等识别任务,也可用于汉字识别。
使用tensorflow2完成一些常见的NLP任务
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
该仓库主要记录 NLP 算法工程师相关的面试题
Implementation of the node2vec algorithm.
📚 面试指南,记录着我面经过程所遇到的问题以及总结的知识点。面试的公司:腾讯、阿里巴巴、字节跳动、虎牙直播、CVTE。所包含的知识点:c/c++/python ,算法,操作系统,计算机网络,数据库
A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Provide docker environment and examples for PyFlink
convert dataset to coco/voc format
Matlab code for machine learning algorithms in book PRML
GoodsKG, a knowledge graph that contains the product-product hierarchy and producer sales goods relationship, which sum up to 1300 products and more than 90000 brands, 基于京东网站的商品上下级概念,商品品牌之间关系,商品描述维度等知识库,基于该知识库可以支持商品属性库构建,商品销售问答,品牌物品生产等知识查询服务,也可用于情感分析等下游应用.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Self-contained demo using PyFlink with Gensim+spaCy to find topics in the Flink User Mailing List. All you need is Docker! 🐳
Graph Convolutional Networks in PyTorch
A Python Library for Graph Outlier Detection (Anomaly Detection)
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.