Search Results for "data collection algorithm" - Page 7
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Showing 338 open source projects for "data collection algorithm"
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A collection of small utilities for: data extraction (text or binary files), data buffering, message queue control, column addition, date/time manipulation, and data recovery testing.
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ebfformat
An Efficient Binary data Format
...It is also designed to simplify the programming of input output routines in different programming languages. In a nutshell an EBF file is a collection of data objects. Each data object is specified by a unique name and a single file can have multiple data objects. Each data object is preceded by a meta-data or header which describes the binary data associated with it. Among other things, this header allows the files to be portable across systems with different endianess. -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
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interactive-coding-challenges
120+ interactive Python coding interview challenges
Interactive Coding Challenges is a collection of practice problems designed to strengthen data structures, algorithms, and problem-solving skills. The repository emphasizes a learn-by-doing approach: you read a prompt, attempt a solution, and verify behavior with tests, often within notebooks or scripts. Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes. -
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closh
Bash-like shell based on Clojure
...Traditional shells are limited in terms of presentation and discoverability, what if we could bring back a richer environment as imagined by lisp machines? Clojure's has a simple syntax and well-thought design which makes it pleasurable to work with. Its extensive collection of powerful functions for data manipulation is suitable to provide solutions for daily tasks. Write shell scripts in a language you use daily for development so you don't have to google arcane shell constructs every time you need to do anything but the simplest tasks. -
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. -
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Happy Java Library
Multilock, Collections, Controllers, Delegates, Generators, Streams
Helps to develop and test event-based multi-threaded Java application. Because of method called as API-Evolution the Happy Java Library is fully downward compatible. The library contains following functionality: MultiLock, Parallel loops, Collections, Controllers, Generators, Delegates, Streams. -
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TreasureBox
Organizes and searches user-defined items and images in a MySQL DB.
Treasure Box is a free standalone java application that documents, displays and searches user-defined items arranged in a hierarchy or tree structure. The system is similar to how a file management system organizes files and folders on your computer's storage devices. Items can be associated with zero, one or more images. All the data associated with an item as well as the names of the item images are stored in a MySQL database on the users PC. Other things I found useful to photograph... -
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RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
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AES Everywhere
Cross Language AES 256 Encryption Library
AES Everywhere is Cross Language Encryption Library that provides the ability to encrypt and decrypt data using a single algorithm in different programming languages and on different platforms. This is an implementation of the AES algorithm, specifically CBC mode, with 256-bit key length and PKCS7 padding. It implements OpenSSL-compatible cryptography with randomly generated salt. -
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benchm-ml
A benchmark of commonly used open source implementations
...The repository is structured in logical folders, each corresponding to algorithm categories. -
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Elasticquent
Maps Laravel Eloquent models to Elasticsearch types
Elasticsearch for Eloquent Laravel Models. Elasticquent makes working with Elasticsearch and Eloquent models easier by mapping them to Elasticsearch types. You can use the default settings or define how Elasticsearch should index and search your Eloquent models right in the model. Elasticquent uses the official Elasticsearch PHP API. To get started, you should have a basic knowledge of how Elasticsearch works (indexes, types, mappings, etc). When using a database, Eloquent models are... -
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Enlive
Selector-based templating and transformation system for Clojure
Enlive is a Clojure library for HTML templating, transformation, and scraping, supporting composable manipulation of HTML/XML in a functional style. It allows selecting, transforming, and generating HTML fragments using CSS selectors, and supports server-side template composition, dynamic pages, and content rewriting. By default selector-transformation pairs are run sequentially. When you know that several transformations are independent, you can now specify (as an optimization) to process... -
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Active Learning
Framework and examples for active learning with machine learning model
...It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main experiment runner (run_experiment.py) supports a wide range of configurations, including batch sizes, dataset subsets, model selection, and data preprocessing options. It includes several established active learning strategies such as uncertainty sampling, k-center greedy selection, and bandit-based methods, while also allowing for custom algorithm implementations. ... -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
...The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. ... -
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OpenDino
Open Source Java platform for Optimization, DoE, and Learning.
...It provides a graphical user interface (GUI) and a platform which simplifies integration of new algorithms as "Modules". Implemented Modules Evolutionary Algorithms: - CMA-ES - (1+1)-ES - Differential Evolution Deterministic optimization algorithm: - SIMPLEX Learning: - a simple Artificial Neural Net Optimization problems: - test functions - interface for executing other programs (solvers) - parallel execution of problems - distributed execution of problems via socket connection between computers Others: - data storage - data analyser and viewer -
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Play-With-Sort-OC
Repository implemented in Objective-C with sorting algorithms
Play-With-Sort-OC is a learning-oriented repository implemented in Objective-C that demonstrates several classic sorting algorithms with code examples (selection sort, bubble sort, insertion sort, quick sort variants, heap sort, etc). The goal is educational; by showing how each algorithm works with animations or clear visualizations in an iOS/Objective-C context, the author helps developers understand not just the “how” but also the “why” behind each algorithm. The repo is especially suited for developers working in the Apple ecosystem (Objective-C, Xcode) who want to build foundational knowledge in data structures and algorithms. ... -
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VJTools
The vip.com's java coding standard, libraries and tools
...The implementation of the rules mainly relies on the code format template and Sonar code rule checking. The core class library for basic functions such as text, collection, concurrency, etc. Best practices regarding the performance and availability of back-end applications. Observe the JVM process indicators and their busy threads. Generational printing version of JMAP. Online emergency collection of JVM data script. -
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Data Algorithm/leetcode/lintcode
Data Structure and Algorithm notes
This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress. -
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haikuVM
A Java VM for ARDUINO and other micros using the leJOS runtime.
HaikuVM has been started for hobbyists who develop applications for ARDUINO to open the world of JAVA and leJOS. Yes, you can program an ARDUINO with JAVA! HaikuVM is so small that it even runs on an atmega8 (and the ASURO robot). And yes, you can program an ASURO robot with JAVA! And since version 1.4.0 the RCX lego brick. -
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sjcl
Stanford Javascript Crypto Library
The Stanford Javascript Crypto Library is a project by the Stanford Computer Security Lab to build a secure, powerful, fast, small, easy-to-use, cross-browser library for cryptography in Javascript. SJCL is small but powerful. The minified version of the library is under 6.4KB compressed, and yet it posts impressive speed results. SJCL is secure. It uses the industry-standard AES algorithm at 128, 192 or 256 bits; the SHA256 hash function; the HMAC authentication code; the PBKDF2 password... -
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rtlamr
An rtl-sdr receiver for Itron ERT compatible smart meters
...We make use of an inexpensive rtl-sdr dongle to allow users to non-invasively record and analyze the commodity consumption of their household. There's now experimental support for data collection and aggregation with rtlamr-collect. -
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React Performance Devtool
A browser developer tool extension to inspect performance
...With every re-render, measures are updated and logged to the console. To use this devtool extension, you'll need to register an observer in your app which will observe a collection of data (performance measures) over time. Registering an observer hooks an object containing information about the events and performance measures of React components to the window object, which can then be accessed inside the inspected window using eval(). -
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This is a collection of tools to be used in working with Term Base eXchange (TBX); an open, XML based standard for exchanging structured terminological data submitted for adoption under ISO 30042 Technical Committee 37.
