Search Results for "python games code" - Page 18
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Showing 1254 open source projects for "python games code"
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UnionML
Build and deploy machine learning microservices
...Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior. This helps you maintain consistent code across your ML stack, from training to prediction logic. -
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OpsManage
Automated operation and maintenance platform
Automated operation and maintenance platform: code and application deployment CI/CD, asset management CMDB, scheduled task management platform, SQL audit | rollback, task scheduling, on-site WIKI. A code deployment, application deployment, scheduled tasks, and equipment asset management platform. Welcome to star or fork my open source project. If you need to quote the project code in your own project, please declare the agreement and copyright information in the project. ... -
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rust.vim
Vim configuration for Rust
rust.vim is the official Vim plugin from the Rust Lang Foundation team that adds support for Rust files in Vim and Neovim. It provides file-detection (so .rs files are recognised), syntax highlighting tuned for Rust’s syntax and macros, and supports formatting via rustfmt and other language-specific tooling. The plugin also integrates with other Vim tools and linters, helping you build a full Rust-editing workflow in Vim. Because Rust’s macro system and language features are more complex... -
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Twinify
Privacy-preserving generation of a synthetic twin to a data set
twinify is a software package for the privacy-preserving generation of a synthetic twin to a given sensitive tabular data set. On a high level, twinify follows the differentially private data-sharing process introduced by Jälkö et al.. Depending on the nature of your data, twinify implements either the NAPSU-MQ approach described by Räisä et al. or finds an approximate parameter posterior for any probabilistic model you formulated using differentially private variational inference (DPVI).... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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HASS Configurator
Configuration UI for Home Assistant
The HASS Configurator is a small web app (you access it via a web browser) that provides a filesystem browser and text-editor to modify files on the machine the configurator is running on. It has been created to allow easy configuration of Home Assistant. It is powered by Ace editor, which supports syntax highlighting for various code/markup languages. YAML files (the default language for Home Assistant configuration files) will be automatically checked for syntax errors while editing. The configurator fetches JavaScript libraries, CSS and fonts from CDNs. Hence it does NOT work when your client device is offline. And it is only available for Python 3. -
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agglo
Multi facets CASE/AGL for easy project developments
Agglo is a CASE (Computer Aided Software Engineering) or AGL (Atelier Génie Logiciel), whose aim is to facilitate installation ans use of various tools (either existing opensource tools, or agglo tools), in several facets of project development: - requirements management - unit tests - automated integration tests - toolkit for various languages (cpp, c, python, shell, xsl) other facets are to come ultimately: - coverage tests - planification - integration with hudson - code quality analysis - indicator production -
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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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Gym
Toolkit for developing and comparing reinforcement learning algorithms
Gym by OpenAI is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents, everything from walking to playing games like Pong or Pinball. Open source interface to reinforce learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. It makes no... -
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Sabaki
An elegant Go board and SGF editor for a more civilized age
...Sabaki is a modern, elegant, cross-platform Go/Baduk/Weiqi board and SGF editor for a more civilized age. It’s free, open source and uses web technology based on Electron. You can see its code, contribute or report an issue at our GitHub repository. Sabaki offers a variety of board markup tools, including the SGF 4-compliant line and arrow tool. Annotate your positions and moves, set hotspots in your favorite games, write reviews in Markdown. Sabaki also supports SGF game containers, saving and reading multiple games within one file. ... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Opta
The next generation of Infrastructure-as-Code
Opta is an infrastructure-as-code framework. Rather than working with a low-level cloud configuration, Opta enables you to work with high-level constructs. Opta high-level constructs produce Terraform configuration files. This helps you avoid lock-in to Opta. You can write custom Terraform code or even take the Opta-generated Terraform and go your own way. Opta is a new kind of Infrastructure-as-Code (IaC) framework that lets engineers work with high-level constructs instead of getting lost... -
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codecat
static code analysis, to find/track sinks and bugs
CodeCat is a open source tool to help you in static code analysis, to find/track sinks and bugs, this points follow regex rules... -
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Hacker Scripts
Based on a true story
Hacker Scripts is a cheeky collection of small automation scripts and language ports collected under the tagline “Based on a true story.” The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the... -
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PyTorch Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.
TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please... -
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comby
A code rewrite tool for structural search and replace that supports
Comby is a tool for searching and changing code structure. Use lightweight templates to easily search and change code, HTML, or JSON. Comby is designed to work on any language or data format. Perform richer search and replace because Comby understands the syntax of code blocks, strings, and comments for your language. Comby is ideal for touching up pieces of code. Use it to translate code like this Python 2 to 3 fixer on the right to replace deprecated methods. ... -
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LeetCode Python
LeetCode Solutions: A Record of My Problem Solving Journey
This repository is a comprehensive personal journal of LeetCode problem-solving journey. It includes detailed solutions with code, algorithm insights, data structure summaries, Anki flashcards, daily challenge logs, and future planning sections. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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Blankly
Easily build, backtest and deploy your algo in just a few lines
Blankly is a live trading engine, backtest runner and development framework wrapped into one powerful open-source package. Models can be instantly backtested, paper traded, sandbox tested and run live by simply changing a single line. We built blankly for every type of quant including training & running ML models in the same environment, cross-exchange/cross-symbol arbitrage, and even long/short positions on stocks (all with built-in WebSockets). Blankly is the first framework to enable... -
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Docksal
Docksal is a tool for defining and managing web development
Running Docker on macOS and Windows is supported via VirtualBox as well as Docker for Mac / Docker for Windows. Docksal project stacks are pre-loaded with common development tools, which include Composer, PHP Code Sniffer, php-cli, node, npm, ruby, bundler, and python. For PHP, Drupal, and WordPress development, it comes with Drush, Drupal Console, and WP-CLI. There is built-in support for Apache Solr, Varnish, Memcache, Selenium, and Behat. Since services are containerized with Docker, any other service needed for a project can be added. ... -
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. -
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PC-BASIC - a GW-BASIC emulator
A free, cross-platform emulator for GW-BASIC, PCjr & Tandy BASIC
PC-BASIC is a free, cross-platform interpreter for GW-BASIC, BASICA, PCjr Cartridge Basic and Tandy 1000 GWBASIC. -- This page is an archive and hosts the legacy version 1.2 of PC-BASIC only. -- For documentation and the latest releases, please see the official homepage: www.pc-basic.org Four source code, discussions and to report bugs please see the GitHub project page https://github.com/robhagemans/pcbasic -
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The Pythonizer
Converts a Java program to the equivalent Python program
An automatic source-code converter (transcompiler) that converts a valid Java program to the equivalent Python program. Uses Python naming conventions and indentation convention. -
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Jupyter Dash
Dash v2.11+ has Jupyter support built in
Dash 2.11 and later supports running Dash apps in classic Jupyter Notebooks and in JupyterLab without the need to update the code or use the additional JupyterDash library. If you are using an earlier version of Dash, you can run Dash apps in a notebook using JupyterDash. This page documents additional options available when running Dash apps in notebooks as well as troubleshooting information. -
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Awesome Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
awesome-conformal-prediction is a curated “awesome list” repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing... -
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Code Cookbook
Reusable code patterns which you can use as reference or copy
Reusable code patterns which you can use as reference or copy to your project. Achieve small or large tasks using recipes that contain steps, scripts, and config files. -
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Kalliope
Kalliope is a framework to create your own personal assistant
Kalliope is a modular always-on voice-controlled personal assistant designed for home automation. Kalliope is a framework that will help you to create your own personal assistant. The concept is to create the brain of your assistant by attaching an input signal (vocal order, scheduled event, MQTT message, GPIO event, etc..) to one or multiple actions called neurons. You can create your own Kalliope bot, by simply choosing and composing the existing neurons without writing any code. But, if...
