Awesome PulsarA curated list of Pulsar tools, integrations and resources.
Stars: ✭ 57 (-47.22%)
Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Stars: ✭ 1,345 (+1145.37%)
Get better at cp in 2 monthsThis contains the curriculum that I will follow to get better at Competitive Programming in 2 months.
Stars: ✭ 627 (+480.56%)
Algorithmalgorithm library
Stars: ✭ 55 (-49.07%)
AlgorithmsData Structure Libraries and Algorithms implementation
Stars: ✭ 624 (+477.78%)
Hadoop cookbookCookbook to install Hadoop 2.0+ using Chef
Stars: ✭ 82 (-24.07%)
Pulsar SparkWhen Apache Pulsar meets Apache Spark
Stars: ✭ 55 (-49.07%)
H2o 3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Stars: ✭ 5,656 (+5137.04%)
Any Angle PathfindingA collection of algorithms used for any-angle pathfinding with visualisations.
Stars: ✭ 107 (-0.93%)
Utils4sscala、spark使用过程中,各种测试用例以及相关资料整理
Stars: ✭ 1,070 (+890.74%)
Fuzzysearch🐷 Tiny and fast fuzzy search in Go
Stars: ✭ 602 (+457.41%)
Advanced Data Structures With PythonPython implementations of Advanced Data Structures and Algorithms. With each code, there is an associated markdown for explanation and applications of that algorithm or data structure.
Stars: ✭ 82 (-24.07%)
ZeppelinWeb-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Stars: ✭ 5,513 (+5004.63%)
Awesome SparkA curated list of awesome Apache Spark packages and resources.
Stars: ✭ 1,061 (+882.41%)
Mongo SparkThe MongoDB Spark Connector
Stars: ✭ 588 (+444.44%)
LogislandScalable 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.
Stars: ✭ 97 (-10.19%)
ConvchainBitmap generation from a single example with convolutions and MCMC
Stars: ✭ 581 (+437.96%)
ThmapConcurrent trie-hash map library
Stars: ✭ 51 (-52.78%)
AlluxioAlluxio, data orchestration for analytics and machine learning in the cloud
Stars: ✭ 5,379 (+4880.56%)
AlgorithmsPort of http://stoimen.com/blog series of algorithms on github
Stars: ✭ 81 (-25%)
DrtlaplusDr. TLA+ series - learn an algorithm and protocol, study a specification
Stars: ✭ 561 (+419.44%)
Spark NkpNatural Korean Processor for Apache Spark
Stars: ✭ 50 (-53.7%)
SoundfingerprintingOpen source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
Stars: ✭ 554 (+412.96%)
Spark DariaEssential Spark extensions and helper methods ✨😲
Stars: ✭ 553 (+412.04%)
Interactive Coding Challenges120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Stars: ✭ 24,317 (+22415.74%)
MleapMLeap: Deploy ML Pipelines to Production
Stars: ✭ 1,232 (+1040.74%)
TreelibAn efficient implementation of tree data structure in python 2/3.
Stars: ✭ 540 (+400%)
LopqTraining of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
Stars: ✭ 530 (+390.74%)
ScalacasterPurely Functional Algorithms and Data Structures in Scala
Stars: ✭ 1,342 (+1142.59%)
Chat基于自然语言理解与机器学习的聊天机器人,支持多用户并发及自定义多轮对话
Stars: ✭ 516 (+377.78%)
Awesome Recommendation EngineThe purpose of this tiny project is to put things together with the know how that i learned from the course big data expert from formacionhadoop.com The idea is to show how to play with apache spark streaming, kafka,mongo, spark machine learning algorithms.
Stars: ✭ 47 (-56.48%)
SpartaReal Time Analytics and Data Pipelines based on Spark Streaming
Stars: ✭ 513 (+375%)
Spark GbtlrHybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
Stars: ✭ 81 (-25%)
CdapAn open source framework for building data analytic applications.
Stars: ✭ 509 (+371.3%)
Al Go Rithms🎵 Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
Stars: ✭ 1,036 (+859.26%)
DelaunatorAn incredibly fast JavaScript library for Delaunay triangulation of 2D points
Stars: ✭ 1,641 (+1419.44%)
MareMaRe leverages the power of Docker and Spark to run and scale your serial tools in MapReduce fashion.
Stars: ✭ 11 (-89.81%)
JobinterviewalgorithmsA directory of classic algorithms that you will find when interviewing for software engineering jobs.
Stars: ✭ 46 (-57.41%)
Docker Spark🚢 Docker image for Apache Spark
Stars: ✭ 78 (-27.78%)
PointblankData validation and organization of metadata for data frames and database tables
Stars: ✭ 480 (+344.44%)
Spark TdaSparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.
Stars: ✭ 45 (-58.33%)
Gofamily🔥 大厂 BAT 面试高频知识点,后端技术体系。包含了 C GO Python, 网络,Redis ,MySQL ,消息队列 ,高并发,微服务,缓存,操作系统,算法,LeetCode 刷题等知识
Stars: ✭ 474 (+338.89%)
BooksAwesome Books
Stars: ✭ 66 (-38.89%)
SparkjniA heterogeneous Apache Spark framework.
Stars: ✭ 11 (-89.81%)
Algo.jsA Very Basic into Intermediate Algorithm Lesson
Stars: ✭ 11 (-89.81%)
Connected Components 3dConnected components on multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
Stars: ✭ 90 (-16.67%)
Mono ReactCreate React from zero series
Stars: ✭ 67 (-37.96%)
Bigdata Interview🎯 🌟[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结
Stars: ✭ 857 (+693.52%)
Dockerfiles50+ DockerHub public images for Docker & Kubernetes - Hadoop, Kafka, ZooKeeper, HBase, Cassandra, Solr, SolrCloud, Presto, Apache Drill, Nifi, Spark, Consul, Riak, TeamCity and DevOps tools built on the major Linux distros: Alpine, CentOS, Debian, Fedora, Ubuntu
Stars: ✭ 847 (+684.26%)
Mabalgs👤 Multi-Armed Bandit Algorithms Library (MAB) 👮
Stars: ✭ 67 (-37.96%)
Blog SrcPersonal blog source.
Stars: ✭ 7 (-93.52%)