Search Results for "data collection algorithm" - Page 8
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582 projects for "data collection algorithm" with 1 filter applied:
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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funNLP
Resources, corpora, and tools for Chinese natural language processing
...The project is highly community-oriented, frequently updated with contributions and new resources, and it’s widely used in both academic and applied NLP research. Its value lies in providing not just tools but also curated, domain-specific data, which can be hard to find elsewhere. -
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QuantResearch
Quantitative analysis, strategies and backtests
QuantResearch is a large educational repository dedicated to quantitative finance, algorithmic trading, and financial machine learning research. The project contains numerous notebooks and research materials demonstrating quantitative analysis techniques used in financial markets. These include implementations of factor models, statistical arbitrage strategies, portfolio optimization methods, and reinforcement learning approaches to trading. The repository also explores financial modeling... -
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SNOBOL4, while known primarily as a string language excels at any task involving symbolic manipulations. It provides run time typing, garbage collection, user data types, on the fly compilation.
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Python Data Science Handbook
Python Data Science Handbook: full text in Jupyter Notebooks
The Python Data Science Handbook is a comprehensive collection of Jupyter notebooks written by Jake VanderPlas covering fundamental Python libraries for data science, including IPython, NumPy, Pandas, Matplotlib, Scikit-Learn and more. The project is designed for data scientists, researchers, and anyone transitioning into Python-based data work; it assumes you already know basic Python and focuses more on how to use the ecosystem effectively. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Selefra
The open-source policy-as-code software that provides analysis
Selefra is an open-source policy-as-code and infrastructure analysis tool that helps engineering and security teams gain visibility into complex multi-cloud and SaaS environments by treating infrastructure data as queryable information. The core idea behind Selefra is “select * from infrastructure,” meaning you can write flexible SQL-style queries against cloud configuration and inventory data assembled from dozens of services such as AWS, Azure, GCP, Kubernetes, GitHub, Slack, and more,... -
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ChatGPT Plugins Collection
An unofficial collection of Plugins for ChatGPT
ChatGPT-Plugins-Collection is a community-driven repository that gathers examples and resources for building, testing, and experimenting with ChatGPT plugins. The collection provides a variety of plugin implementations that showcase different use cases, helping developers learn how to extend ChatGPT’s functionality. It is designed to serve both as a learning resource for beginners and a reference point for more experienced developers. -
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Motofit co-refines Neutron and X-ray reflectometry data, using the Abeles matrix / Parratt recursion and least squares fitting (Genetic algorithm or Levenberg Marquardt). It works in the IGOR Pro environment (TM Wavemetrics).
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AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking
...The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. This relatively simple design allows the tracker to achieve very high processing speeds while maintaining competitive tracking accuracy. The project also introduces new evaluation metrics specifically designed for assessing performance in 3D tracking benchmarks. ... -
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React Projects
Collection of React example / tutorial projects
This repository is a collection of small-to-medium React applications that showcase practical patterns, from stateful widgets to multi-page interfaces. Each project is self-contained and demonstrates specific techniques—hooks for state and effects, context for global state, custom hooks for reuse, and reducer patterns for complex updates. The codebases include common UI tasks like forms, modals, lists, filtered search, and pagination, along with data fetching and basic routing where appropriate. ... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Writer2LaTeX and Writer2xhtml is a collection of converters from OpenDocument Format (ODF) to LaTeX/BibTeX, HTML+MathML and EPUB. It is delivered as a standalone java library, as a command line application and as extensions for LibreOffice.
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Hippo4j
Powerful dynamic thread pool framework with monitoring/alarm functions
...Buried when the application thread pool is running, it provides four alarm dimensions, such as thread pool overload, blocking queue capacity, running too long, and rejection policy alarms, and supports non-repeated alarms within a custom time. It supports user-defined duration thread pool operation data collection and storage, and also supports Prometheus, InfluxDB and other collection and monitoring, and provides visual large-screen monitoring and operation indicators through Grafana or the built-in monitoring page. -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. -
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Nano JSON
Lightweight, facility, high performance golang based game server
Nano is an easy-to-use, fast, lightweight game server networking library for Go. It provides a core network architecture and a series of tools and libraries that can help developers eliminate boring duplicate work for common underlying logic. The goal of nano is to improve development efficiency by eliminating the need to spend time on repetitious network-related programming. Nano was designed for server-side applications like real-time games, social games, mobile games, etc of all sizes. In... -
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Java Noodle Manual
The Java Face Sutra Manual consists of 5 chapters, 29 sections
Java Noodle Manual is a Java interview and core-technology study repository based on the Java Interview Manual. It uses interview questions as an entry point to explain deeper Java fundamentals instead of offering shallow memorization material. The content covers resume preparation, interview strategy, data structures, algorithms, concurrency, multithreading, JVM concepts, and source-code analysis. It includes practical examples so readers can test and verify the concepts while studying. The... -
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data-science-on-gcp
Source code accompanying book: Data Science on the GCP
The data-science-on-gcp repository is a comprehensive collection of code examples and end-to-end workflows that accompany the book Data Science on the Google Cloud Platform, designed to teach developers how to build scalable data science and machine learning systems using Google Cloud services. It provides structured, chapter-aligned implementations that guide users through the full lifecycle of a data science project, including data ingestion, storage, processing, analysis, model training, and deployment. ... -
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Front-end development blog
Front-end Development Thoughts
Front-end development blog is a front-end development article repository focused on JavaScript, ES6, React, Redux, and related web engineering topics. It works as a curated index of essays rather than a traditional software package. The repository collects technical thinking on subjects such as AI in development, VS Code history, React Conf, JavaScript number behavior, server-side versus client-side rendering, and React best practices. It also includes articles about CSS Modules, Immutable... -
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Data science blogs
A curated list of data science blogs
Data Science Blogs is a curated repository that aggregates a wide range of high-quality blogs and resources related to data science, machine learning, and analytics into a single organized collection. It serves as a discovery platform for practitioners, researchers, and learners who want to stay updated with industry trends, techniques, and insights without manually searching for reliable sources. -
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Resources for Competitive Programming
Competitive Programming & System Design Resources
Competitive Programming Resources is a curated collection for learners preparing for competitive programming, coding interviews, system design, and problem solving. It gathers video tutorials, practice platforms, algorithm references, interview preparation links, and system design materials in one place. The repository is not a software library but a structured learning hub for people who want to improve algorithmic thinking and technical interview readiness. -
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FairScale
PyTorch extensions for high performance and large scale training
FairScale is a collection of PyTorch performance and scaling primitives that pioneered many of the ideas now used for large-model training. It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. ... -
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OpenCensus Libraries for Go
A stats collection and distributed tracing framework
OpenCensus and OpenTracing have merged to form OpenTelemetry, which serves as the next major version of OpenCensus and OpenTracing. OpenCensus is a set of libraries for various languages that allow you to collect application metrics and distributed traces, then transfer the data to a backend of your choice in real time. This data can be analyzed by developers and admins to understand the health of the application and debug problems. -
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crawlergo
Headless Chrome crawler for collecting URLs for vulnerability scans
crawlergo is a browser-based web crawler designed to collect URLs and request data that can be used by web vulnerability scanning tools. It uses a Chrome headless environment to render web pages and observe behavior during the DOM rendering stage in order to capture as many accessible endpoints as possible. By monitoring the page lifecycle and interacting with web elements, the crawler automatically triggers JavaScript events and navigational actions that would normally occur during real... -
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Data Science Collected Resources
Carefully curated resource links for data science in one place
Data Science Collected Resources is a curated collection of learning materials and reference links covering a wide range of topics in data science, artificial intelligence, and machine learning. The repository aggregates educational resources from research articles, technical blogs, tutorials, and documentation into a single organized knowledge hub. -
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BD-Func
Bidirectional Functional Enrichment of Gene Expression Data
BD-Func is an algorithm to predict activation or inhibition of pathways based upon gene expression patterns. If you use BD-Func, please cite: Warden C, Kanaya N, Chen S, and Yuan Y-C. (2013) BD-Func: A Streamlined Algorithm for Predicting Activation and Inhibition of Pathways. peerJ, 1:e159 -
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Python ML Jupyter Notebooks
Practice and tutorial-style notebooks
...The repository is designed to help learners understand both the theory and practical implementation of machine learning algorithms through step-by-step code examples. Many notebooks include explanations of algorithm behavior, data preparation techniques, and evaluation methods for machine learning models. The project also includes examples that demonstrate how to apply machine learning to real-world datasets and practical business problems. -
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DecryptLogin
Python library providing APIs for automated website login workflows
...DecryptLogin supports a wide variety of online services and platforms, including social media sites, developer platforms, cloud services, and other web portals. Developers can integrate these login routines into automation scripts, crawlers, or data collection tools that require authenticated sessions. It also provides example utilities and automation scripts demonstrating how the login APIs can be used in practical scenarios.