Goa.c📚Algorithm By Golang
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CubCooperative primitives for CUDA C++.
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Jortsortthe official website for jortSorting
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TedsdsApache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark
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Haxe BasicsThe collection of easy samples and hello-worlds for Haxe.
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AlpgVisualize and inspect custom algorithms with time travelling
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Cloudml SamplesCloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
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Sparkling TitanicTraining models with Apache Spark, PySpark for Titanic Kaggle competition
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PhpalgorithmsA collection of common algorithms implemented in PHP. The collection is based on "Cracking the Coding Interview" by Gayle Laakmann McDowell
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SparkjniA heterogeneous Apache Spark framework.
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Algo.jsA Very Basic into Intermediate Algorithm Lesson
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Erdosmodular and modern graph-theory algorithms framework in Java
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Awesome Unam A curated list of awesome engineering ecosystem, including UNAM Projects
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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
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Ultimate GoThis repo contains my notes on working with Go and computer systems.
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Prism Samples WpfSamples that demonstrate how to use various Prism features with WPF
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EdualgoA simple python package having modules of different algorithms to use in educational purposes.
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Tiledb VcfEfficient variant-call data storage and retrieval library using the TileDB storage library.
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Daily Coding ProblemSelf-implemented python solution for https://dailycodingproblem.com every day.
Stars: ✭ 75 (-40%)
HaskellImplementation of All ▲lgorithms in Haskell Programming Language
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Java Competitive ProgrammingI have written some important Algorithms and Data Structures in an efficient way in Java with proper references to time and space complexity. These Pre-cooked and well-tested codes help to implement larger hackathon problems in lesser time. DFS, BFS, LCA, All Pair Shortest Path, Longest Common Subsequence, Binary Search, Lower Bound Search, Maximal Matching, Matrix Exponentiation, Segment Tree, Sparse Table, Merge Sort, Miller Prime Test, Prims - Minimum Spanning Tree, BIT - Binary Index Tree, Two Pointers, BST - Binary Search Tree, Maximum Subarray Sum, Immutable Data Structures, Persistent Data Structurs - Persistent Trie, Dijkstra, Z - Function, Minimum Cost Maximal Matching, Heavy Light Decomposition, Knapsack, Suffix Array and LCP - Longest Common Prefix, Squre Root Decomposition, Kth Order Statics, Trie / Prefix Tree, LIS - Longest Increasing Subsequence, Hashing
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Ds CheatsheetsList of Data Science Cheatsheets to rule the world
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Play With Algorithm InterviewCodes of my MOOC Course <Play with Algorithm Interviews>. Updated contents and practices are also included. 我在慕课网上的课程《玩儿转算法面试》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
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Apache Spark Hands OnEducational notes,Hands on problems w/ solutions for hadoop ecosystem
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HackerrankEfficient HackerRank solutions in JavaScript (⬡.js)
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AlgorithmsAlgorithms and data structures exercises
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PsProblem Solving
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Spark FfmFFM (Field-Awared Factorization Machine) on Spark
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Club De Algoritmia Upiiz IpnEs un repositorio donde todo miembro del club puede ver tanto problemas resueltos, algoritmos como ejercicios de clase, de una manera facil
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Wrox Professionalandroid 4eCode listings and sample projects from "Professional Android" (4th Edition) by Reto Meier and Ian Lake (ISBN: 978-1118949528)
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Grpc DemosDemos for my talk Beyond HTTP in ASP.NET Core 3.0 with gRPC
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Awesome Ai Ml DlAwesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
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Coursera SpecializationsSolutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody
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Bigdataguide大数据学习,从零开始学习大数据,包含大数据学习各阶段学习视频、面试资料
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Stdpack.cCollection of small public domain de/compressors in plain C.
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EchoPython package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
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Spark Infotheoretic Feature SelectionThis package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
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Trienet.NET Implementations of Trie Data Structures for Substring Search, Auto-completion and Intelli-sense. Includes: patricia trie, suffix trie and a trie implementation using Ukkonen's algorithm.
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CrystallineA collection of containers & algorithms for the Crystal programming language
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Spark LucenerddSpark RDD with Lucene's query and entity linkage capabilities
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HnswlibJava library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs
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