Search Results for "open source tv" - Page 3
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Showing 650 open source projects for "open source tv"
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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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SpeeD ReaD ("Speedy Read-y")
SpeeD ReaD is a little program to help you read faster.
SpeeD ReaD helps you to read faster and more efficiently. By minimizing subvocalization and saccades, you can process and comprehend the text you read much faster than with normal reading. First, subvocalization is the natural tendency for all of us to "hear" the words in our brains as we read. Think of it as reading out loud inside your head. But our minds do not need us to sound out the words we read - even inside our heads - in order to understand them. The words can be processed in a... -
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classicos de leitura
The best of Portuguese and English classical literature
A program to read classical literature ,6 titles added at the moment. In English: -The adventures of Sherlock Holmes -Secret Adversary In Portuguese: -Amor de Perdição -Os Maias -A morgadinha dos canaviais -A moreninha New: Made a reader to search and read books from project gutenberg. -
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translate-gui
GUI for translate-shell, the cli tool for quick translation
GUI for the translate-shell, aims to be easy to use translator and a helpful tool for learning new languages. Most tools do a one way translation from source to target language, do to the reverse involves choosing the source and target languages again. This tool can do a 2 way translation accompanied by speech output of the target language text. Hence it can prove to be an indispensable aid when learning new languages -
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EulerSharp
Euler Yet another proof Engine
EYE [1] is a reasoning engine supporting the Semantic Web layers [2]. It performs controlled chaining and it supports Euler paths [3]. Via N3 [4] it is interoperable with Cwm [5]. [1] http://eulersharp.sourceforge.net/README [2] http://www.w3.org/DesignIssues/diagrams/sweb-stack/2006a [3] http://mathworld.wolfram.com/KoenigsbergBridgeProblem.html [4] http://www.w3.org/TeamSubmission/n3/ [5] http://www.w3.org/2000/10/swap/doc/cwm -
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openSkyMatch
Matches OpenScience Observatories images with astronomical catalogs
...It automates the identification and matching of detected celestial objects in locally captured FITS images with entries in large-scale sky catalogs, notably Pan-STARRS1 DR2 (II/389/ps1_dr2). The toolkit supports data preprocessing, coordinate correlation, and catalog-based validation of astronomical detections. All tools are open-source and optimized for reproducibility and transparency in citizen science astronomy. -
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Mastering Bitcoin
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
The bitcoinbook repository contains the source code for Mastering Bitcoin, the authoritative open-source book by Andreas M. Antonopoulos on Bitcoin and cryptocurrency technologies. Written in a collaborative and continuously updated format using Markdown and AsciiDoc, the book serves as a comprehensive technical guide for developers, engineers, and system architects who want to understand how Bitcoin works. -
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Infix-To-Postfix-Converter
Enhance your understanding of mathematical expressions conversions
A simple desktop application to convert infix expression to postfix expression, also displaying the conversion steps fully. -
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Django LMS
A learning management system using django web framework
django-lms is an open-source Learning Management System (LMS) built with Django and designed for ease of use and extensibility. It allows administrators to manage courses, lessons, quizzes, and users in an educational environment. The project includes a clean UI and backend tools to help educators create and track learning content. -
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Summarize from Feedback
Code for "Learning to summarize from human feedback"
The summarize-from-feedback repository implements the methods from the paper “Learning to Summarize from Human Feedback”. Its purpose is to train a summarization model that better aligns with human preferences by first collecting human feedback (comparisons between summaries) to train a reward model, and then fine-tuning a policy (summarizer) to maximize that learned reward. The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling... -
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D2L.ai
Interactive deep learning book with multi-framework code
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist. -
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twert
Website, application blocking with scheduling. Self/Parental control.
Anti-procrastination website and application blocker with scheduling. Perfect for students and parents alike. A free and open-source alternative to Cold Turkey. Made by Dang Nam Anh, Truong Duc Quan and Trieu Tran Duc Tri. -
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Br-Gogo is a Brazilian open-source version of the Gogo Board project. Developed by CTI, a Brazilian research center. **<div class="sf-root" data-id="250926" data-badge="oss-users-love-us-white" style="width:125px"> <a href="https://sourceforge.net/projects/br-gogo/" target="_blank">Br-Gogo</a> </div>**
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kakagui
Kakagui is a gui interface for kakasi, the Kanji Kana Simple Inverter
Kakagui かかぐい, is a gui interface for kakasi, the Kanji Kana Simple Inverter. It can be used by Japanese learners who do not yet have a strong grasp on Kanji to convert text to hiragana/katakana or Romaji to help in reading Japanese. -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to... -
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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. The repository brings together 42 classic programming problems from the... -
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HomeworkHelper
Homework Helper: Organize tasks, meet deadlines. Ideal for ADHD
Homework Helper is a comprehensive and user-friendly application designed to assist students in effectively managing their homework and assignments. It provides a convenient and organized platform to keep track of upcoming tasks, due dates, subjects, and associated details. Developed with a focus on simplicity and usability, Homework Helper aims to support students, including those with ADHD or individuals struggling with task management, in staying organized and achieving academic success.... -
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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,... -
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Personal Study Planner
Python program that create a personalized study plan for your exams.
# StudyPlanner This is a simple Python program that helps you create a personalized study plan for your exams. It calculates the number of hours and pages you need to study every day to be fully prepared for your exams. # Installation To run the program, you'll need to have Python installed on your computer. You can download it from the official website: https://www.python.org/downloads/ You'll also need to have the following modules installed: * tkinter *... -
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AllenNLP
An open-source NLP research library, built on PyTorch
...AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional allennlp subcommands. There is ecosystem of open source plugins, some of which are maintained by the AllenNLP team here at AI2, and some of which are maintained by the broader community. AllenNLP will automatically find any official AI2-maintained plugins that you have installed, but for AllenNLP to find personal or third-party plugins you've installed, you also have to create either a local plugins file named .allennlp_plugins in the directory where you run the allennlp command. -
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Sudoku Maker is a generator for Sudoku number puzzles. It uses a genetic algorithm internally, so it can serve as an introduction to genetic algorithms. The generated Sudokus are usually very hard to solve -- good for getting rid of a Sudoku addiction.
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''' حساب الجمّل: وهو حساب من وضع العرب قبل الميلاد بقرون؛ فعندما وضعوا الأبجدية جعلوا ترتيب حروفها على الصورة الآتية: (أ، ب، ج، د، هـ، و، ز، ح، ط، ي، ك، ل، م، ن، س، ع، ف، ص، ق، ر، ش، ت، ث، خ، ذ، ض، ظ، غ). ثم جعلوا لكل حرف من هذه الحروف قيمة عددية وفق الآتي:أ=1 ب=2 ج=3 د=4 هـ=5 و=6 ز=7 ح=8 ط=9 ي=10 ك=20 ل=30 م=40 ن=50 س=60 ع=70 ف=80 ص=90 ق=100 ر=200 ش=300 ت=400 ث=500 خ=600 ذ=700 ض=800 ظ=900 غ=1000 والتاء المربوطة (ـة) تحسب هاء، لأنّها ترسم هاءً وتلفظ عند الوقف هاءً أيضاً. والألف...
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ediViewer
View, Edit and extract transactions from (PESC) standard Edi Files.
View, Edit and extract edi transactions from PESC standard approved Edi files. The EdiViewer has been tested to work with the following [PESC standards] (https://www.pesc.org/pesc-approved-standards-1.html) 1. TS 189 Application for Admission to Educational Institutions 2. TS 130 Educational Record (Transcript) -
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ety
A Python module to discover the etymology of words
ety is a Python library and command-line tool designed to explore and retrieve the etymological origins of words by analyzing linguistic data and relationships between languages. It allows users to query a word and obtain its historical roots, including intermediate forms across different languages and time periods. The tool can generate recursive etymology chains as well as tree structures that visually represent how a word evolved over time. It is built as both a reusable module and a CLI... -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
Reinforcement-Learning-with-TensorFlow is an educational repository that walks through key reinforcement learning algorithms implemented in TensorFlow. It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can... -
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Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The...
