Search Results for "python-4suite-xml" - Page 6
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Showing 991 open source projects for "python-4suite-xml"
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ThinkJulia.jl
Port of the book Think Python to the Julia programming language
ThinkJulia.jl is an open source educational project that adapts Think Python by Allen B. Downey into the Julia programming language, with contributions by Ben Lauwens. It provides a comprehensive introduction to programming and computational thinking using Julia’s modern, high-performance features. The book is structured to gradually teach core concepts such as variables, control flow, functions, recursion, object-oriented programming, and data structures, while offering hands-on exercises to reinforce each topic. ... -
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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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CIN-System
Parse and store Infringement Notices with web interface and RT connect
...Provide a web interface to the salient data of each Notice with search and limited report capabilities. Includes several builtin reports. May use optional RequestTracker (RT) service for action recording. Development depended only on Notices received and ACNS XML v1.2 schema. No other documents, devices/appliances, or marketing information was used. Note that this project does not prevent, interrupt, or track media downloads nor is it meant to replace any such capabilities. -
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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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Guia do Desenvolvedor Back-end
Everything you need to become a back-end developer
...The guide covers Linux, Git, GitHub, HTTP, APIs, programming languages, databases, cloud platforms, Docker, architecture patterns, and related technical areas. It also includes resources for data science, machine learning, artificial intelligence, and scientific Python tools. The repository is organized as a study companion, not as an executable software package. Overall, it is a practical back-end learning reference for planning study paths, exploring technologies, and finding useful external resources. -
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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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nanogpt-lecture
Code created in the Neural Networks: Zero To Hero video lecture
...It is designed to accompany the video so students can inspect, modify, and rerun the implementation themselves. The repository begins with a simple character-level bigram language model and develops toward a GPT-style transformer. Its compact Python code exposes core ideas such as tokenization, embeddings, attention, transformer blocks, training, and text generation. The Git history mirrors much of the progression shown during the lecture. The implementation favors educational clarity over production optimization and includes known limitations in areas such as weight initialization. ... -
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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 * datetime You can install them using the following commands: `python3 -m pip install datetime tkinter` or `pip install datetime tkinter`. ... -
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The JavaScript Way
The JavaScript Way book
This repository contains the full source of The JavaScript Way, a beginner-friendly yet comprehensive free online book on JavaScript. It covers fundamentals through to frontend and backend development, built with MkDocs and deployed via Poetry-powered local server. It’s open under Creative Commons, code under MIT. -
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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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AllenNLP
An open-source NLP research library, built on PyTorch
...AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). 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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DeepMind Educational Resources
DeepMind's repo of educational notebooks for learning AI and research
...The repository provides hands-on, beginner-friendly resources that introduce essential AI concepts through Google Colab notebooks, combining intuitive explanations with executable code. The tutorials cover a broad range of topics—from foundational Python programming and data handling to supervised, unsupervised, and reinforcement learning, as well as graph neural networks and scientific reasoning. Specialized notebooks also explore creative AI applications, language modeling, generative models, and protein folding. Each tutorial is designed to be standalone and adaptable for self-study, classroom teaching, or use at summer schools and community workshops. -
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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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Haircut_EQ
Fetches the historical Haircut data (%) of Equities and Gold Bonds
Haircut is the amount of margin money deducted while pledging the Equites/ Mutual Funds / Bonds for trading. A haircut value of 13% means that, if a share worth of Rs 100 is pledged for trading, then Rs. 13 will be deducted and Rs. 87 will be given as collateral margin for trading. It is based on previous closing price. This program is used to identify the real value of a share with date. It fetches the historical Haircut data (%) and Price of an equity listed in NSE, India at a... -
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Digitization Metadata Editor is a Content Management System for Digital Libraries. It's a complex web-based system supporting all essential steps in the development of the digital library.
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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. -
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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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...Además, se han incluido las especificaciones de Castellano Natural, mostrando algunas diferencias con el Pseudocódigo Castellano Clásico, que incluye ciertas palabras clave obtenidas como resultado de un estudio, seleccionadas como preferidas por los estudiantes. Permite la traducción de algoritmos entre los diferentes lenguajes de Pseudocódigo, así como la traducción del código a Python 2. MultiPseudo también permite la programación y desarrollo de algoritmos en Python 2. Disponible una versión en Java con uso de Jython y otra versión Javascript con uso de Skulpt.
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Hello AI World
Guide to deploying deep-learning inference networks
...The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train your own DNN models onboard Jetson with PyTorch. Ready to dive into deep learning? It only takes two days. We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. Follow these directions to integrate deep learning into your platform of choice and quickly develop a proof-of-concept design. -
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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... -
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openpublipostage
Édition automatisée de conventions de stage.
Logiciel en Python permettant l'automatisations de l'édition de conventions de stage à partir d'un document en .doc ou .docx et d'une base de données en .xlsx. -
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Catalyst
Accelerated deep learning R&D
...Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. PyTorch 1.1+, and has been tested on Ubuntu 16.04/18.04/20.04, macOS 10.15, Windows 10 and Windows Subsystem for Linux. It's part of the PyTorch Ecosystem, as well as the Catalyst Ecosystem which includes Alchemy (experiments logging & visualization) and Reaction (convenient deep learning models serving). -
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Binarytree
Python library for studying Binary Trees
Binarytree is Python library that lets you generate, visualize, inspect and manipulate binary trees. Skip the tedious work of setting up test data, and dive straight into practicing algorithms. Heaps and BSTs (binary search trees) are also supported. Binarytree supports another representation which is more compact but without the indexing properties. -
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Haircut_MF
Fetches the historical Haircut data (%) of Mutual Funds and Bonds
Haircut is the amount of margin money deducted while pledging the Equites/ Mutual Funds / Bonds for trading. A haircut value of 13% means that, if a share worth of Rs 100 is pledged for trading, then Rs. 13 will be deducted and Rs. 87 will be given as collateral margin for trading. It is based on previous closing price (NAV). This program is used to identify the real value of an equity / share / mutual fund / Bonds / SGB with date. This program fetches the historical Haircut data (%)...
