Search Results for "understanding school software one"
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Showing 33 open source projects for "understanding school software one"
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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bitnet.cpp
Official inference framework for 1-bit LLMs
bitnet.cpp is the official open-source inference framework and ecosystem designed to enable ultra-efficient execution of 1-bit large language models (LLMs), which quantize most model parameters to ternary values (-1, 0, +1) while maintaining competitive performance with full-precision counterparts. At its core is bitnet.cpp, a highly optimized C++ backend that supports fast, low-memory inference on both CPUs and GPUs, enabling models such as BitNet b1.58 to run without requiring enormous... -
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IIAB
Internet-in-a-Box, build your own library of Alexandria
Internet-in-a-Box (IIAB) is a “learning hotspot” that brings the Internet's crown jewels (Wikipedia in any language, thousands of Khan Academy videos, zoomable OpenStreetMap, electronic books, WordPress journaling, “Toys from Trash” electronics projects, etc.) to those without Internet. You can build your own tiny, affordable server (an offline digital library) for your school, your medical clinic, your prison, your region, and/or your very own family, accessible with any nearby smartphone,... -
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Avalonia
A cross-platform UI framework for .NET
Avalonia is a cross-platform UI framework for dotnet, providing a flexible styling system and supporting a wide range of Operating Systems such as Windows, Linux, macOS. Avalonia is mature and production-ready. We also have in beta release support for iOS, Android and in early stages support for browsers via WASM. Avalonia is open source, free to use, and always will be. Clone the source today to dig deeper. The free VS extension provides everything needed to start, including a XAML... -
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DocTR
Library for OCR-related tasks powered by Deep Learning
DocTR provides an easy and powerful way to extract valuable information from your documents. Seemlessly process documents for Natural Language Understanding tasks: we provide OCR predictors to parse textual information (localize and identify each word) from your documents. Robust 2-stage (detection + recognition) OCR predictors with pretrained parameters. User-friendly, 3 lines of code to load a document and extract text with a predictor. State-of-the-art performances on public document... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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RAG Anything
RAG-Anything: All-in-One RAG Framework
RAG-Anything is an open-source unified framework that extends the Retrieval-Augmented Generation (RAG) paradigm to fully multimodal document and knowledge retrieval, enabling systems to ingest, parse, represent, and query rich content that includes text, images, tables, formulas, and other structured or visual elements. Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling... -
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telescope.nvim
Find, Filter, Preview, Pick. All lua, all the time
Gaze deeply into unknown regions using the power of the moon. telescope.nvim is a highly extendable fuzzy finder over lists. Built on the latest awesome features from neovim core. Telescope is centered around modularity, allowing for easy customization. Community-driven builtin pickers, sorters and reviewers. We also suggest you install one native telescope sorter to significantly improve sorting performance. Take a look at either telescope-fzf-native.nvim or telescope-fzy-native.nvim. For... -
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Byte Buddy
Runtime code generation for the Java virtual machine
Byte Buddy is a code generation and manipulation library for creating and modifying Java classes during the runtime of a Java application and without the help of a compiler. Other than the code generation utilities that ship with the Java Class Library, Byte Buddy allows the creation of arbitrary classes and is not limited to implementing interfaces for the creation of runtime proxies. Furthermore, Byte Buddy offers a convenient API for changing classes either manually, using a Java agent or... -
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aws-devops-zero-to-hero
AWS zero to hero repo for devops engineers to learn AWS in 30 Days
aws-devops-zero-to-hero is a 30-day AWS learning roadmap aimed squarely at DevOps engineers who want both conceptual understanding and hands-on projects. The README is structured as a day-by-day syllabus, starting with “Day 1: Introduction to AWS” and moving through IAM, EC2, VPC networking, security, DNS (Route 53), storage (S3), and many other core services. Each day mixes explanation with at least one concrete project or lab, such as deploying applications on EC2, designing secure VPCs,... -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is... -
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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GraphQL for Nest framework
GraphQL (TypeScript) module for Nest framework (node.js)
GraphQL is a powerful query language for APIs and a runtime for fulfilling those queries with your existing data. It's an elegant approach that solves many problems typically found with REST APIs. For background, we suggest reading this comparison between GraphQL and REST. GraphQL combined with TypeScript helps you develop better type safety with your GraphQL queries, giving you end-to-end typing. In this chapter, we assume a basic understanding of GraphQL, and focus on how to work with the... -
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AlgorithmsDev Library by Arshad Latti
comman and new algorithms and functions development and demo programs.
Provide implemented algorithms and functions with demo programs to test.keeped portable as possible at OS level and programming language(understanding)level.provide third party archives if available for ralvent algorithm.links for YouTube videos on availability by us and third party. -
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Easy Database Forms For All
Create Web Based Forms Quickly, With In-built DB, For All Your Teams
Please watch the video till 18m:00s / screenshots below for easy installation steps. This video is taken from my other project, with many similarities and some naming differences. After installation, login to the Administrator Page with : Username : root Password : change_this and look at the team1 database and the sample_table in it, from all aspects. You can now create your own tables/forms. Also, login into the team1 user page ( from homepage ) with : Username : team1... -
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command-output-to-html-table
A shell script to convert any file or command output into a html table
Please watch the video below, to convert any file or a command output into a nice html table, in less than 5 Minutes time. The output html file can then be browsed from any location, using a local webserver or an internet www domain. Usage Examples: (Type them on Terminal) cd ~/Downloads/tabulate # location chmod +x *.sh cat "student_marks.csv" | { cat ; echo ; } | ./tabulate.sh -d "," -t "My School" -h "First Term" > "marks.html" # or > "/var/www/html/marks.html" -d specifies... -
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unfetch
Bare minimum 500b fetch polyfill
Tiny 500b fetch "barely-polyfill". With a module bundler like rollup or webpack, you can import unfetch to use in your code without modifying any globals. While one of Unfetch's goals is to provide a familiar interface, its API may differ from other fetch polyfills/ponyfills. One of the key differences is that Unfetch focuses on implementing the fetch() API, while offering minimal (yet functional) support to the other sections of the Fetch spec, like the Headers class or the Response class.... -
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90DaysOfDevOps
The journey towards a better foundational knowledge of DevOps
This repository is used to document my journey on getting a better foundational knowledge of DevOps. I will be starting this journey on the 1st January 2022 but the idea is that we take 90 days which just so happens to be January 1st to March 31st. The reason for documenting these days is so that others can take something from it and also hopefully enhance the resources. The goal is to take 90 days, 1 hour a day, to tackle over 13 areas of DevOps to foundational knowledge. This will not... -
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Flutter Notebook
Collection of demo projects for Flutter
Flutter-Notebook is a curated collection of small demo projects for Flutter, designed to help developers learn and practice Flutter UI patterns and behaviors by example. The repository gathers many independent “mini apps” (each focused on one or a few features) so that learners can inspect, run, and understand individual Flutter behaviors in isolation. Demo of common UI behaviors (pull-to-refresh, left-swipe delete, JSON deserialization). Examples of state-preserving page... -
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SpringAll
Step by step, learn Spring Boot, Spring Boot & Shiro, Spring Batch
SpringAll is a comprehensive learning project that gathers a wide range of Spring, Spring Boot, and Spring Cloud demos in one repository. It is designed for developers who want to deepen their understanding of the Spring ecosystem by exploring concrete, runnable code samples. Each module focuses on a specific technology or integration—covering web applications, ORM frameworks, microservices, caching, messaging, security, distributed systems, and monitoring. The repository emphasizes both... -
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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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php login with email validation
Complete PHP Login with Email Validation System
This is the only complete php login system developed in core php. The system has many features that enable you to learn php Object Oriented Programming (OOP). This program is also very useful for those that want to learn how to create a complete login system in php. INSTALLATION AND SETUP PROCEDURE: https://www.youtube.com/channel/UCBemL4ht7jmZY9tJ8NGkS-A?sub_confirmation=1 subscribe to our youtube channels for more source codes. More source codes: Complete Login System with Email... -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo... -
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KAREL 3D C++ ( Karel the Robot in 3D )
Karel - 3D language interpreter
version 5 in C++ WinAPI, for compiler MinGWx64 is manually rewrited from JavaScript no GL version in Notepad++ ( https://sourceforge.net/projects/karel-3d/ ). ZIP include source code and just one EXE file without install to direct Run KAREL-3D ( tested on Win10 x64 and Win7 x64 without MinGW compiller [ not need .dll ] ) Objects: brick, wall, mark, bridge. In Karel, currently can not be use Load or Save ( use Ctrl+C, Ctrl+V between the editor and Notepad ) Tip for Karel: Type... -
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Simple Client Server Chat Example
An example of a simple chat system
This project is a demonstration example on multi-threading programming in Java (old school) and network programming (String exchanges over network). The multi-threading part aims to show how to avoid blocking methods by putting them in separate thread, therefor, the ExecutorService was not used. Two Runnable interfaces are available in the server and the client to show how the dialog is managed. The Socket part aims to show how simple communication using TCP/IP are quite simple. The system... -
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Write a hash table in C
Learn how to write a hash table in C
Hash tables are one of the most useful data structures. Their quick and scalable insert, search and delete make them relevant to a large number of computer science problems. Understanding of how a fundamental data structure works under the hood. Deeper knowledge of when to use hash tables, when not to use them, and how they can fail. Exposure to new C code. The language doesn't come with one included. It is a low-level language, so you get deeper exposure to how things work at a machine... -
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ms-small-basic-dev-guide
Command reference for MSB (Microsoft Small Basic)
Revised - 2017.10.13 This is a "Developer Command Reference Guide" for MSB (Microsoft Small Basic) divided into 12 pdf sections. There are 11 subject areas plus 1 reference doc; master command list, and reference charts: color, ascii, music, and math. 1) Includes master api & reference charts 2) 11 individual subject areas 3) Complete doc set merged for mobile users 4) 12 tab 3 ring binder index page This set of documents are in their **finished format**. Only occasional... -
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char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN)
char-rnn is a classic codebase for training multi-layer recurrent neural networks on raw text to build character-level language models that learn to predict the next character in a sequence. It supports common recurrent architectures including vanilla RNNs as well as LSTM and GRU variants, letting users compare behavior and output quality across model types. It is straightforward: you provide a single text file, train the model to minimize next-character prediction loss, then sample from the...
