6587 Open source projects that are alternatives of or similar to Relevant Search Book

IPython Notebooks to learn Python

450+ AWS, Hadoop, Cloud, Kafka, Docker, Elasticsearch, RabbitMQ, Redis, HBase, Solr, Cassandra, ZooKeeper, HDFS, Yarn, Hive, Presto, Drill, Impala, Consul, Spark, Jenkins, Travis CI, Git, MySQL, Linux, DNS, Whois, SSL Certs, Yum Security Updates, Kubernetes, Cloudera etc...

Ansible role to setup jupyterhub server (deprecated)

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

A standalone lightweight full-text search engine built on top of blevesearch and Go with multiple storage (scorch, boltdb, leveldb, badger)

Griffon Data Science Virtual Machine

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

🍲 TYPO3 Docker Boilerplate project (NGINX, Apache HTTPd, PHP-FPM, MySQL, Solr, Elasticsearch, Redis, FTP)

Jupyter for Visual Studio Code

The Hunting ELK

🍲 PHP Docker Boilerplate for Symfony, Wordpress, Joomla or any other PHP Project (NGINX, Apache HTTPd, PHP-FPM, MySQL, Solr, Elasticsearch, Redis, FTP)

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Instructional notebooks on music information retrieval.

JanusGraph: an open-source, distributed graph database

An IPython notebook plugin for visualizing ASTs.

A collection of Jupyter/IPython notebooks

支持Lucene5/6/7/8+版本, 长期维护。

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

Repository for my java projects.

Query Translator is a search query translator with AST representation

WebRTC for Jupyter notebook/lab

📊 Algorithm Visualizer for IPython/Jupyter Notebook

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases

Pytest in IPython notebooks.

Scipy Cookbook

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

A py.test plugin to validate Jupyter notebooks

Curated synonym files and Helpers for Elasticsearch Synonym Token Filter

编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

CatBoost tutorials repository

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Function, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.

Spring Boot 学习教程

strip output from Jupyter and IPython notebooks

Learn advanced data science on real-life, curated problems

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

Tutorial on Using Pandas

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Telegram notification with IPython magics.

Spring Boot 2.x code examples

springboot和dubbo、netty的集成，redis mongodb的nosql模板， kafka rocketmq rabbit的MQ模板， solr solrcloud elasticsearch查询引擎

Open Source, Distributed, Big Data Enterprise Search Engine

Configurable Extract, Transform, and Load

Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database

Jupyter/IPython notebooks about evolutionary computation.

Food detection and recommendation with deep learning

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Contains files related to content and project of DSND

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

Explains nlp building blocks in a simple manner.

Generating multiple choice questions from text using Machine Learning.

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.