Search Results for "map it" - Page 3
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Showing 134 open source projects for "map it"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
...For someone trying to get up to speed with a new ML subfield — say graph neural networks or meta-learning — ml-surveys offers a curated reading list of foundational and recent works, helping map the landscape quickly. It is particularly useful for researchers, data scientists, or engineers who want conceptual clarity about where a field stands, what problems remain, and what techniques are most established. -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
...The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. The project added multi-GPU training, target count statistics, learning rate scheduling with step and cosine options, and optimizer selection between Adam and SGD. It also includes adaptive learning rate adjustment based on batch size, image cropping, many configurable parameters, and expanded comments for easier study. ... -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
...The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. The project added multi-GPU training, seed settings for reproducible results, adaptive learning rate behavior based on batch size, and both step and cosine learning rate schedules. It also supports Adam and SGD optimizer choices, image cropping, adjustable parameters, and extensive code comments. ... -
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SkePi
Data parallel and stream parallel skeletons implemented in erlang.
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Tomorrow Theme
Tomorrow Theme
...The palette comes in multiple variants—Tomorrow (light) and several “Tomorrow Night” options like Bright, Blue, and Eighties—so developers can choose a tone that matches their environment without losing legibility. Each scheme defines a small, harmonious set of base and accent colors that map predictably to tokens such as keywords, strings, numbers, and comments, reducing visual noise while preserving structure. The project ships ports for a wide range of tools (from Vim and Emacs to Sublime Text, iTerm, and more) and documents the palette so others can create faithful ports. Its emphasis on restraint and consistency makes it a popular baseline for teams that want code to look familiar across machines and applications. -
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Plumbing
Prismatic's Clojure(Script) utility belt
Plumbing is a general-purpose Clojure utility belt and data transformation library endorsed for its pragmatic approach to everyday tasks. It offers a toolkit of macros and functions that simplify common data manipulation patterns, and includes a “Graph” abstraction for structured computation flows. Most of it is also compatible with ClojureScript. Graph is a simple and declarative way to specify a structured computation, which is easy to analyze, change, compose, and monitor. Here's a simple... -
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Clean Code PHP
Clean Code concepts adapted for PHP
...It distills principles like meaningful naming, small functions, single responsibility, error handling, and tests into style rules and examples tailored for PHP’s idioms and language features. Contributors map each guideline to real-world scenarios—refactoring suggestions, before/after code snippets, and edge-case handling—in ways that are directly applicable to legacy and greenfield code. Because PHP is dynamically typed and loosely structured, the project pays special attention to avoiding “magic,” enforcing explicitness, and using type hints and invariants where possible. ... -
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Minkowski Engine
Auto-diff neural network library for high-dimensional sparse tensors
The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unspooling, and broadcasting operations for sparse tensors. The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to... -
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Hydra
Lightweight full-featured Promises, Async & Await Library in Swift
...Promises can be cancelled through invalidation tokens and executed on configurable Grand Central Dispatch queues. Operators include timeout, retry, recover, validate, map, zip, all, any, defer, pass, and always. Hydra supports Apple platforms and Linux and can be integrated through common Swift dependency-management systems. -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
...These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. Users can quickly adapt the examples for their own remote sensing, environmental monitoring, or spatial data science projects, and can run the code in environments like Google Colab. -
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JavaScript Array Explorer
A resource to figure out what JavaScript array method would be best
Array Explorer is an educational web-based resource created by Sarah Drasner to help developers understand and select the appropriate JavaScript array method (like map, filter, reduce, find, etc.) when they’re stuck wondering “which one should I use?” Instead of diving into endless docs, you can use the interactive tool to specify what you’re trying to accomplish—e.g., “remove items,” “transform items,” “find something,” “aggregate results”—then see which methods match and get live code examples. ... -
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libreact
Collection of useful React components
libreact is a collection of reusable React components and utilities — described as a “standard library for React projects” — that aims to simplify and standardise common patterns in React development. The library is modular: you can import specific modules such as withState, withToggle, mock, loadable, lazy, flipflop, withValue, List, Map, sensors, toggles and more. Many components are isomorphic (work in browser and server) and some even support React Native. It comes with documentation and storybook examples, making it useful for developers who want ready-to-use building blocks instead of reinventing common hooks or patterns. The license is Unlicense, which means fully open and free to use. ... -
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Bloaty
Bloaty: a size profiler for binaries
...The tool is designed to be fast enough for iterative use in developer workflows and CI, making size budgets enforceable rather than aspirational. It also supports data sources such as symbol tables and map files, combining them into coherent, readable breakdowns. Teams use Bloaty to drive systematic size-reduction efforts in embedded, desktop, and mobile software where startup time, memory footprint, or download size matter. -
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iOS7-Sampler
Code examples for the new features of iOS 7
...Camera and image examples include slow-motion recording, smile detection, Core Image filters, QR code reading, and QR code generation. The project also explores SpriteKit, activity sharing, motion tracking, static map snapshots, and Safari Reading List integration. Some demonstrations depend on specific hardware, including motion coprocessors and cameras capable of high-frame-rate recording. Today, the repository is mainly useful for studying the original adoption patterns of foundational iOS APIs. -
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AR.js
Efficient Augmented Reality for the Web
AR.js is a lightweight JavaScript library for delivering augmented reality experiences on the web. It supports image tracking, location-based AR, and marker-based interactions—all without requiring native applications or plugins. AR.js was among those great projects, with great technologies, often disruptive ones, that eventually were lacking from documentation and support. We tried to carry on the author's terrific work by maintaining this project, handling new versions, issues, pull... -
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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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Face-Detection-JavaScript
Small browser-based computer vision demo
...It loads face detection, facial landmark, face recognition, and facial expression models from a local models folder. Once the webcam stream starts, the app creates a canvas overlay and draws detection results directly over the video feed. It can identify face boxes, map facial landmark points, and display detected expressions in near real time. The project is simple enough for beginners to study, but it still demonstrates the core pieces needed for webcam access, model loading, detection loops, result resizing, and canvas rendering. It is useful as a starting point for learning client-side face detection prototypes, demos, or educational experiments. -
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Source Map Support
Adds source map support to node.js (for stack traces)
...It’s designed to be easy to enable: you can require it programmatically or load it via a register hook so that all subsequent errors benefit. Because it relies on the source-map library, it works across a wide range of build systems that emit standard source maps. -
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NetworkEye
A iOS network debug library, monitor HTTP requests
...It can be detected HTTP requests including web pages, NSURLConnection, NSURLSession, AFNetworking, 3rd libraries, 3rd SDK, and so on. very convenient and practical. It can be a map local json file. -
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Highland
High-level streams library for Node.js and the browser
...It allows developers to process data in a declarative and composable way, treating streams as sequences that can be transformed using familiar functional patterns such as map, filter, reduce, and flatMap. The library abstracts away much of the complexity of handling backpressure and asynchronous callbacks, enabling developers to focus on data transformation logic rather than low-level stream management. Highland supports both synchronous and asynchronous sources, including arrays, events, promises, and Node streams, making it highly versatile. ... -
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Image Map Resize
Responsive HTML Image Maps
This is a simple library that makes HTML Image Maps responsive so that they automatically stay scaled to the size of the image they are attached to. It detects the window being resized and updates the coordinates of the image map accordingly. This library can be used with or without jQuery. -
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Personal Blog
One article per week, the content is concise, neither salty nor light
...Articles are grouped by topic domains such as architecture, Spring Boot, Spring Cloud, Dubbo, Hystrix, Kafka, Redis, gateways, microservices, JVM tuning, and data structures, with each entry linking out to full posts on iocoder.cn. This makes the repo act as a navigable table of contents and knowledge map for a large body of Chinese-language backend engineering content. It also includes “toolbox” and miscellaneous categories. -
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FKit
A functional programming toolkit for JavaScript
FKit (pronounced eff-kit) is a functional programming toolkit for JavaScript. It provides many functions for solving common problems with functions, objects, arrays, and strings. It aims to provide reusable building blocks while maintaining a laser focus on everyday utility. -
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OMapper
Automate your bean mappings seamlessly
...It is NOT an ORM Framework like Hibernate, but it facilitates object to object mapping between different design layers. So, say if hibernate or axis generates DTO's and you want to map them to your own beans , so at that point this framework can be used. Please refer to the wiki for usage guidelines. Key Benefits : => Smaller code foot-print => Faster development time => One time mapping creation => Easy to debug => Reduces the bugs due to missed mappings for large DTOs -
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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. Advanced sections touch on neural networks and distributed computing topics, helping you bridge from basics to production-adjacent workflows. ...
