Search Results for "data collection algorithm" - Page 27
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Showing 1337 open source projects for "data collection algorithm"
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FastaTools
Performs several operations to Fasta protein databases
...For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/fastatools/code/ci/default/tree/README.md Or you can download the Documentation an Tutorial PDF file in the Files section: https://sourceforge.net/projects/fastatools.lp-csic-uab.p/files/FastaTools%20Documentation%20and%20Tutorials.pdf - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., & Abian, J. (2014). A collection of open source applications for mass spectrometry data mining. PROTEOMICS, 14(20), 2275–2279. https://doi.org/10.1002/pmic.201400124 -
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Blazorise
Blazorise is a component library built on top of Blazor
Blazorise is a modern, extensible UI component library designed for building rich web applications using Microsoft’s Blazor framework and the .NET ecosystem. It provides a comprehensive suite of reusable UI components that allow developers to create consistent, responsive, and scalable interfaces without manually implementing common patterns. One of its defining features is its provider-based architecture, which decouples component logic from visual styling, enabling developers to switch... -
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RL-Stock
Automated stock trading through a simulated training environment
RL-Stock is a reinforcement learning project that explores automated stock trading through a simulated training environment. It is written as an educational experiment rather than a financial product or investment recommendation system. The project includes scripts for collecting stock data, defining a reinforcement learning environment, training an agent, and visualizing results. It focuses on how an agent can learn trading-like behavior through rewards, states, and actions. The repository... -
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LymPHOS2
LymPHOS2 Web-App
...DOI: 10.1021/pr800500r - Ovelleiro, D., Carrascal, M., Casas, V., Abian, J., LymPHOS: design of a phosphosite database of primary human T cells. Proteomics 2009, 9, 3741–3751. DOI: 10.1002/pmic.200800701 - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., Abian, J., A collection of open source applications for mass spectrometry data mining. Proteomics 2014, 20, 2275-2279. DOI: 10.1002/pmic.20140012 -
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RecipeRemedy
A collection of recipe for home remedy
A set of recipe known for home remedy for common cold, coughs, etc. The idea is to link the recipe remedy to the condition. The detail behind the technical design includes the use of wikidata data item for particular condition, remedy, etc. With the item identified, can then open up a wikipedia page associated to the remedy for further reading. For sample reference only, use at own discretion. -
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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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AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
AhoCorasickDoubleArrayTrie is a Java implementation of the Aho–Corasick multi-pattern matching algorithm that is optimized using a Double-Array Trie data structure. It is designed for fast keyword scanning across large texts, where you want to search for many patterns simultaneously and efficiently. The core idea is to build an automaton from a dictionary of patterns, then stream through input text to emit matches with minimal overhead. -
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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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NYCOpenData-Profiling-Analysis
Open Data Profiling, Quality and Analysis on NYC OpenData dataset
Open data often comes with little or no metadata. You will profile a large collection of open data sets and derive metadata that can be used for data discovery, querying, and identification of data quality problems. For each column, identify and summarize the semantic types present in the column. These can be generic types (e.g., city, state) or collection-specific types (NYU school names, NYC agency). -
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Literature of Deep Learning for Graphs
A comprehensive collection of recent papers on graph deep learning
...The collection includes foundational works that introduced graph convolutional networks as well as more recent research on large-scale graph representation learning and graph generation techniques. The repository is designed as a reference guide for students and researchers who want to explore the rapidly growing field of graph deep learning. -
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vim.wasm
Vim editor ported to WebAssembly
...Drag and drop files to browser tab opens them in Vim. When opening it, it opens tryit.js example JavaScript source code. Basic usage is described in comments at top of the file. Example source contains min-heap data structure and heap sort algorithm. Enjoy coding! And :% runs the code in your browser. -
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Python Machine Learning
The "Python Machine Learning (2nd edition)" book code repository
This repository accompanies the well-known textbook “Python Machine Learning, 2nd Edition” by Sebastian Raschka and Vahid Mirjalili, serving as a complete codebase of examples, notebooks, scripts and supporting materials for the book. It covers a wide range of topics including supervised learning, unsupervised learning, dimensionality reduction, model evaluation, deep learning with TensorFlow, and embedding models into web apps. Each chapter has Jupyter notebooks and Python scripts that... -
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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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EMBL-EBI Icon fonts
A collection of functional and scientific icons for EMBL-EBI sites
Reference the fonts.css stylesheet automatically loads a range of icon fonts that you can use. Icons are added automatically through CSS using the :before feature in CSS, so they will appear before whatever piece of text you associate them with. To make this association, you need to include particular class and data-icon attributes in the relevant HTML element. This version brings the most user-facing changes in several years as we've added in far more "common" icons and simplified the font... -
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AutoAni
Compilation-free adaptive swf visualization template
AutoAni is a compilation-free adaptive visualization template designed for creating animated bar chart races and similar time-based visualizations using Flash. It focuses on ease of use for beginners by removing the need to install Flash or compile code—users simply prepare their data and images, place them in the same directory, and open the provided SWF file with any compatible player. The template comes with built-in Source Han Sans fonts, ensuring consistent text rendering without... -
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Common Music
An algorithmic music composition system
Common Music (CM) is a real-time music composition system implemented in JUCE/C++ and Scheme. It generates musical output via MIDI, OSC, CLM, FOMUS and CSOUND. Its user application is called GRACE (Graphical Real-time Algorithmic Composition Environment) -
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Scikit-learn Tutorial
An introductory tutorial for scikit-learn
Scikit-learn Tutorial contains the materials for Jake VanderPlas’s introductory scikit-learn tutorial, originally used at major Python conferences. It provides a collection of notebooks that walk attendees from basic machine-learning concepts into practical modeling using the scikit-learn library. The tutorial covers data preparation, model fitting, evaluation, and common algorithms such as classification, regression, clustering, and dimensionality reduction. It is designed for people who already have a working Python environment and some familiarity with NumPy, SciPy, and Matplotlib. ... -
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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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AI Cheatsheets
Essential Cheat Sheets for deep learning and machine learning research
cheatsheets-ai is an open-source repository that collects essential cheat sheets covering many tools and concepts used in machine learning, deep learning, and data science. The project aims to provide quick-reference materials that help engineers, researchers, and students review key techniques and frameworks without reading extensive documentation. It compiles cheat sheets for widely used libraries and technologies such as TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Matplotlib, and... -
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nlp_chinese_corpus
Large Scale Chinese Corpus for NLP
nlp_chinese_corpus is a large-scale Chinese corpus collection for natural language processing research and development. It was created to make high-volume Chinese text data easier to access for students, researchers, and practitioners. The repository gathers several major datasets, including Chinese Wikipedia entries, news articles, encyclopedia-style question answering data, community question answering data, and Chinese-English translation sentence pairs. ... -
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An open source framework for LC-MS based proteomics and metabolomics. OpenMS offers data structures and algorithms for the processing of mass spectrometry data. The library is written in C++. Our source code and wiki lives on GitHub (https://github.com/OpenMS/OpenMS).
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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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Lens
Lens is an opt-in search engine and data collection tool
Lens is an opt-in search engine and data collection tool to aid content discovery of the distributed web. It exposes a simple, minimal API for intelligently indexing and querying content on IPFS. Initially integrated with Temporal, Lens will allow users to optionally have the data they upload be searched and indexed and be awarded with RTC for participating in the data collection process. -
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CCZero (中国象棋Zero)
Implement AlphaZero/AlphaGo Zero methods on Chinese chess
ChineseChess-AlphaZero is a project that implements the AlphaZero algorithm for the game of Chinese Chess (Xiangqi). It adapts DeepMind’s AlphaZero method—combining neural networks and Monte Carlo Tree Search (MCTS)—to learn and play Chinese Chess without prior human data. The system includes self-play, training, and evaluation pipelines tailored to Xiangqi's unique game mechanics. -
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ECommerceCrawlers
Collection of Python ecommerce and website crawler examples projects
ECommerceCrawlers is a collection of practical Python web crawler projects designed to gather data from a variety of ecommerce platforms, websites, and online services. It aggregates many independent crawler examples created by contributors and organized into separate subprojects that target specific sites or data sources. These examples demonstrate how to build and operate web scrapers capable of collecting structured information such as product listings, news content, job postings, social media data, and other publicly available web data. ...
