Search Results for "data collection algorithm" - Page 10
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Showing 334 open source projects for "data collection algorithm"
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Dynamic Routing Between Capsules
A PyTorch implementation of the NIPS 2017 paper
...Instead of scalar neuron activations, capsules output vectors that encode both the presence of features and their spatial properties such as orientation or pose. The repository implements the dynamic routing algorithm between capsules, which allows lower-level features to route their outputs to higher-level structures that best represent the detected patterns. This approach enables the model to capture part-to-whole relationships in visual data more effectively than standard CNNs. The project serves primarily as a research implementation that demonstrates how capsule networks can be built and trained using modern deep learning frameworks. -
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OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition
OpenSeq2Seq is a TensorFlow-based toolkit for efficient experimentation with sequence-to-sequence models across speech and NLP tasks. Its core goal is to give researchers a flexible, modular framework for building and training encoder–decoder architectures while fully leveraging distributed and mixed-precision training. The toolkit includes ready-made models for neural machine translation, automatic speech recognition, speech synthesis, language modeling, and additional NLP tasks such as... -
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Generative Models
Collection of generative models, e.g. GAN, VAE in Pytorch
...These models are widely used in artificial intelligence to generate new data that resembles the training data, such as images, text, or other structured outputs. The repository serves as an educational and experimental environment where users can study how generative models work internally and replicate results from academic research papers. -
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mzitu
Python crawler that downloads image galleries and analyzes titles
...This makes the repository both a scraping example and a small data analysis experiment built around the collected content. Overall, mzitu serves as a learning-oriented implementation of Python web scraping, data processing, and visualization techniques. -
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Gensim-data
Data repository for pretrained NLP models and NLP corpora
...Users normally access the catalog through Python or the Gensim command-line downloader rather than cloning the repository itself. Downloads are cached in a local gensim-data directory for later reuse. The collection includes corpora such as text8 and 20 Newsgroups alongside pretrained word-vector resources such as GloVe. Every dataset retains its own licensing terms, so users must review individual usage conditions. -
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Python ADB
Python ADB + Fastboot implementation
python-adb provides a pure-Python implementation of the Android Debug Bridge protocol so you can script Android devices without depending on the platform adb binary. It exposes high-level helpers for device discovery, shell commands, file push/pull, port forwarding, and log collection, making it easy to build automation around phones and emulators. Under the hood it speaks the ADB protocol directly and can connect via USB or over TCP, which is useful for lab setups and headless servers. Because it’s Python, you can compose device actions with your favorite testing, scraping, or data-collection libraries in one process. ... -
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WeChatSogou
Python library to crawl and retrieve data from WeChat accounts
...These components work together to process HTTP requests, handle verification mechanisms, and transform HTML or JSON responses into usable objects. Developers can integrate the library into scripts or larger data collection systems to automate gathering content from public accounts. -
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Zhao
A compilation of "The Princely Party Relationship Network"
zhao is a repository that consolidates research, data, and insights related to Zhao, which is likely an individual’s research collection, notes, or curated resources on deep learning, AI, or computational topics (name and content context suggest specialized study). The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. -
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tinfoleak
OSINT tool for extracting and analyzing Twitter intelligence data
tinfoleak is an open source intelligence (OSINT) and social media intelligence (SOCMINT) tool designed to automate the collection and analysis of data from Twitter. It focuses on helping analysts extract large volumes of information from Twitter timelines using identifiers such as usernames, geographic coordinates, or keywords. Once the data is gathered, tinfoleak organizes it into structured information that can support intelligence analysis and investigative research. tinfoleak is capable of analyzing user activity, relationships, and behavioral patterns to reveal insights about accounts and their interactions on the platform. ... -
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The purpose of the current project is the development of a potentially open-source platform that would provide the capability to conduct virtual bioequivalence trial simulations. Ideally, this user-friendly platform will provide the user with many user-defined capabilities. Algorithm implementation for population pharmacokinetic analysis: The current project describes the marriage between PBPK modeling and population-based statistical analysis. The latter is necessary for parameter estimation when individual-level data is available. A critical aspect of this coupling is the implementation of an algorithm that would allow the performance of population-based statistical analysis. ...
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haipproxy
Distributed proxy IP pool for web crawlers using Scrapy and Redis
...It automatically crawls proxy resources from the internet and aggregates them into a centralized pool that can be accessed by distributed spiders and scraping systems. It is built using Python and relies on Scrapy for high-performance crawling while Redis is used for data storage, communication, and task coordination between components. It includes crawlers that discover proxy servers, validators that test proxy availability and performance, and schedulers that manage crawling and validation tasks. HAipproxy aims to maintain a high availability proxy pool with low latency so that scraping frameworks can rotate proxies efficiently and avoid blocking during large-scale data collection. ... -
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TEACUP
TCP Experiment Automation Controlled Using Python
...TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). TEACUP also collects a variety of metadata from the end hosts and bottleneck router, such as the actual OS/kernel version(s) used. ... -
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ParaCrypt
more convenient one-time-pad encryption.
ParaCrypt is software for encrypting and decrypting data with one-time-pads. For convenience the one-time-encryption-pads are created using pre-shared unencrypted files as sources of entropy. -
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AI learning
AiLearning, data analysis plus machine learning practice
We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community,... -
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wordvectors
Pre-trained word vectors of 30+ languages
...Scripts are included for corpus creation and for training new embeddings with either supported algorithm. Available languages include Chinese, Japanese, Korean, Spanish, French, German, Hindi, Russian, Vietnamese, Thai, and many others, with model metadata covering vector, corpus, and vocabulary sizes. -
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SaberNet DCS is a labor data collection system, designed to allow organizations to rapidly capture their labor data in real-time. Optimized for bar code input, DCS is the perfect way to automate and improve the accuracy of your time tracking.
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mcc
Magic (the Gathering) Card Collection
Magic (the Gathering) Card Collection is online card database, card search and deck builder tool is well as card collection organizer. It contains data that is Copyright © Wizards of the Coast - All Rights Reserved. -
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Seq2seq Chatbot for Keras
This repository contains a new generative model of chatbot
This repository contains a new generative model of chatbot based on seq2seq modeling. The trained model available here used a small dataset composed of ~8K pairs of context (the last two utterances of the dialogue up to the current point) and respective response. The data were collected from dialogues of English courses online. This trained model can be fine-tuned using a closed-domain dataset to real-world applications. The canonical seq2seq model became popular in neural machine... -
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Composight is a cross-platform toolkit for 3D-image processing in the domain of composite materials science. It is written in C++ and provides small, problem-specific applications for viewing, filtering and segmentation of volumetric data such as micro-CT scans. The main objective is not to provide yet another complex application for volume data visualization and medical image processing. Instead, Composight is a collection of small and simple apps that have already been successfully used to solve various problems in materials science.
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AlienVault OSSIM
Open Source SIEM
OSSIM, AlienVault’s Open Source Security Information and Event Management (SIEM) product, provides event collection, normalization and correlation. For more advanced functionality, AlienVault Unified Security Management (USM) builds on OSSIM with these additional capabilities: * Log management * Advanced threat detection with a continuously updated library of pre-built correlation rules * Actionable threat intelligence updates from AlienVault Labs Security Research Team * Rich analytics dashboards and data visualization -
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Algorithms in Python
Data Structures and Algorithms in Python
Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. The repository is particularly useful for people preparing for competitive programming, job interviews, or building a foundational understanding of algorithmic patterns. ... -
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100 numpy exercises
100 numpy exercises (with solutions)
This is a collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. I've also created some problems myself to reach the 100 limit. The goal of this collection is to offer a quick reference for both old and new users but also to provide a set of exercises for those who teach. For extended exercises, make sure to read From Python to NumPy. -
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fb2combiner
This program allows embedding books in fb2 format in one, super-book.
Fb2Combiner builds a collection of fb2-formatted books in one container (also in fb2 format). Each book is embedded as a chapter. -
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Python Variable Variables Manager
a python manager class for named variables (variable name is variable)
Addressing the question for variable variables in python (i.e. variables with variable names), which has been posed on stackoverflow: http://stackoverflow.com/questions/1373164/how-do-i-do-variable-variables-in-python The consensus is to use a dictionary for this. This is a good idead, however, there are many aspects arising from this: * you'll yourself be responsible for this dictionary, including garbage collection (of in-dict variables) etc. * there's no locality for variable... -
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RDKit
Open-Source Cheminformatics and Machine Learning
A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches.
