Search Results for "python basic project" - Page 80
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Showing 6787 open source projects for "python basic project"
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Hacker Scripts
Based on a true story
...The README explains the origin story and highlights several canonical scripts and provides usage notes such as required environment variables and cron examples for scheduling. Contributors have provided implementations and ports in many languages and folders (shell, Ruby, Python, Node, Perl, PowerShell, Go, Java, etc.), and the project explicitly welcomes pull requests that add additional language implementations. -
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Java Best Practices
Best practices in Coding, Designing and Architecting Java Applications
Java Best Practices is a curated repository that focuses on improving code quality, readability, and maintainability in Java applications. It provides guidelines and examples that demonstrate how to write clean, efficient, and scalable code following industry standards. The project covers topics such as naming conventions, exception handling, performance optimization, and design principles. It helps developers transition from basic coding knowledge to professional-level practices. The repository emphasizes consistency and clarity in code structure, making it easier to collaborate in team environments. It also introduces patterns that reduce technical debt and improve long-term maintainability. ... -
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ceph-ansible
Ansible playbooks to deploy Ceph, the distributed filesystem
Ansible playbooks for Ceph, the distributed filesystem. This project assumes you have a basic knowledge of how Ansible works and have already prepared your hosts for configuration by Ansible. After you’ve cloned the ceph-ansible repository, selected your branch and installed Ansible then you’ll need to create your inventory file, playbook and configuration for your Ceph cluster. The Ansible inventory file defines the hosts in your cluster and what roles each host plays in your Ceph cluster. ... -
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Elephas
Distributed Deep learning with Keras & Spark
Elephas is an extension of Keras, which allows you to run distributed deep learning models at scale with Spark. Elephas currently supports a number of applications. Elephas brings deep learning with Keras to Spark. Elephas intends to keep the simplicity and high usability of Keras, thereby allowing for fast prototyping of distributed models, which can be run on massive data sets. Elephas implements a class of data-parallel algorithms on top of Keras, using Spark's RDDs and data frames. Keras... -
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Pattern
Web mining module for Python, with tools for scraping
Pattern is an open-source Python library that provides tools for web mining, natural language processing, machine learning, and network analysis. The project integrates multiple capabilities into a single framework that allows developers to collect, process, and analyze textual data from the web. It includes modules for web scraping and crawling that can retrieve information from sources such as social media platforms, search engines, and online knowledge bases. -
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ipfs-css
Single-purpose css class names and font-face config to IPFS up your UI
The single-purpose CSS class names and @font-face config to IPFS up your UI. Once you've installed ipfs-css from npm, the CSS and SCSS files and the web-fonts are available from your node_modules/ipfs-css directory. You can import the theme.json file which can be used with a ThemeProvider component. All the CSS atoms are generated from that, so you can be sure you're using the same values. While ipfs.css contains everything you need, if you prefer variables for fonts, colors, and gradients,... -
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NX-Shell
A multi-purpose file manager for the Nintendo Switch
NX Shell is a multi-purpose file manager for the Nintendo Switch that aims towards handling various file types while keeping the basic necessities of a standard file manager. Initially, the project was inspired by LineageOS/CyanogenMod's file manager for android, and even had a similar design approach to that of the famous Android file manager. However, it has been re-written from scratch, now using more up to date tools and libraries. -
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ump-link
UMP's website in a flash
This project was made for personal use on the environment of Universiti Malaysia Pahang, Malaysia. Most of the function is centered for the use of student of said university. If you are interested for customizable one, visit https://sourceforge.net/projects/recluse-board/ -
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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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10
ostRAT
OpenSourceTelegramRAT - Remote PC access via Telegram Bot.
ostRAT is free and open source. GPLv3 Сomputer remote control software. Works via telegram bot. A lot of functions, for example: - Screenshot: sends a screenshot - Off: turns off the computer - Url: opens entered link - Write: sends your text to the computer - Move: changes mouse location with x and y - and more! WARNING: Using the bot is recommended only on your device. Failure to comply with the recommendation may result in criminal liability. -
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AutoScraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
This project is made for automatic web scraping to make scraping easy. It gets a URL or the HTML content of a web page and a list of sample data that we want to scrape from that page. This data can be text, URL or any HTML tag value of that page. It learns the scraping rules and returns similar elements. Then you can use this learned object with new URLs to get similar content or the exact same element of those new pages. -
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Apple Neural Engine (ANE) Transformers
Reference implementation of the Transformer architecture optimized
ANE Transformers is a reference PyTorch implementation of Transformer components optimized for Apple Neural Engine on devices with A14 or newer and on Macs with M1 or newer chips. It demonstrates how to structure attention and related layers to achieve substantial speedups and lower peak memory compared to baseline implementations when deployed to ANE. The repository targets practitioners who want to keep familiar PyTorch modeling while preparing models for Core ML/ANE execution paths.... -
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Download Folder Sorter (Script)
Sort Your Downloaded Files
Sort Documents, Videos, Music & Pictures In Your Home Directory Download Folder & Place Them In Their Corresponding Folders. This script runs in the background & shuts down after it completes. If you want an basic output, you will need to use the CMD / Terminal to run the script. A log file will be created once completed Any files that already exists are skipped & left in your Download Folder. Requirements: - Python 3.8 or newer How To Run The Program: - Windows Users: Just Run The DLF Sorter.py File (No Output Messages) Or Run In CMD Window By Navigating To Where The File Is Located & Type "python3 DLF\ Sorter.py " Without The Quotes. ... -
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nlpaug
Data augmentation for NLP
This Python library helps you with augmenting nlp for your machine learning projects. Visit this introduction to understand Data Augmentation in NLP. Augmenter is the basic element of augmentation while Flow is a pipeline to orchestra multi augmenters together. -
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Minimum barebones Portable Python distribution with PyScripter as development environment. Contains no additional packages other than those provided with the official python setup from python.org NOTE: This project is NOT affiliated with portablepython.com though this project is inspired by it.
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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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Machine Learning Glossary
Machine learning glossary
...The content is organized into sections that progressively introduce key ideas from basic machine learning concepts to more advanced mathematical topics. Many pages include diagrams or code examples to illustrate how algorithms work in practice. Because the project emphasizes accessibility, it is particularly useful for beginners who want a conceptual overview of machine learning terminology before diving into more technical research papers. -
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Walrus
Lightweight Python utilities for working with Redis
...Supports secondary indexes to allow filtering on equality, inequality, ranges, less/greater-than, and a basic full-text search index. The full-text search features a boolean search query parser, porter stemmer, stop-word filtering, and optional double-metaphone implementation. -
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Video Pre-Training
Learning to Act by Watching Unlabeled Online Videos
The Video PreTraining (VPT) repository provides code and model artifacts for a project where agents learn to act by watching human gameplay videos—specifically, gameplay of Minecraft—using behavioral cloning. The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction. The repository contains demonstration models of different widths, fine-tuned variants (e.g. for... -
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Pattern Recognition and Machine Learning
Repository of notes, code and notebooks in Python
Pattern Recognition and Machine Learning is an open-source repository that provides Python implementations and interactive notebooks for algorithms presented in the book Pattern Recognition and Machine Learning by Christopher Bishop. The project recreates many of the mathematical concepts and diagrams from the book using executable Jupyter notebooks, allowing readers to experiment directly with the algorithms described in the text. -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
YOLOV3 Pytorch is a PyTorch implementation of the YOLOv3 object detection model built for training, prediction, and evaluation. 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... -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. 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... -
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GoCraft
A Minecraft like game written in go
GoCraft is an open-source sandbox game project written in the Go programming language that recreates core gameplay ideas from Minecraft. The project demonstrates how a voxel-based world simulation can be implemented using Go along with graphics libraries and OpenGL-style rendering pipelines. GoCraft includes basic terrain generation, block placement mechanics, and player movement within a procedurally generated world composed of cubic blocks. -
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A client implementation of Secure Socket Tunneling Protocol (SSTP) for Linux / Mac OS-X that allows remote access via SSTP VPN to Microsoft Windows 2008 Server. This project has been moved to https://gitlab.com/eivnaes/sstp-client
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Official YOLOv7
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art
YOLOv7 is the official implementation of the paper “YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.” It is a PyTorch-based object detection project focused on high speed and strong accuracy for real-time computer vision. The repository provides model definitions, training scripts, testing tools, inference examples, pretrained weights, and deployment-oriented materials. YOLOv7 introduced training-time improvements that raise accuracy without...
