Search Results for "python games source code" - Page 57
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Showing 3300 open source projects for "python games source code"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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An open source framework for LC-MS based proteomics and metabolomics. OpenMS offers data structures and algorithms for the processing of mass spectrometry data. The library is written in C++. Our source code and wiki lives on GitHub (https://github.com/OpenMS/OpenMS).
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Pydicom by examples
Basic and intermediate examples of DICOM library with Jupyter
Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/ -
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tute
Play Tute playing card game
Tute is one of the most popular Spanish deck card games. It is now available here totally free with source code available for the community. Learn the basics from Ludoteka [http://www.ludoteka.com/tute.html] or Wikipedia [https://www.wikipedia.org/wiki/Tute] -
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MMF
A modular framework for vision & language multimodal research
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that... -
A Complete Platform for Home Care ProvidersSmart, Intuitive, and Affordable – A Complete Platform for Home Care Providers. Designed by caregivers for caregivers. See why more home care businesses are choosing SMARTcare for services. We have an astounding customer service team with a 98.2% customer satisfaction rating! Our focus is ensuring our clients can spend their time providing high-quality care rather than taking time to learning how to use a software. Ditch the headaches and technical difficulties and find out why SMARTcare is the trusted standard. Achieve higher engagement of your caregivers and staff. SMARTcare is designed for those on-the-go with our mobile app. Caregivers have access to all the tools to perform their care, be better engaged and more satisfied with their jobs. SMARTcare mobile gives them the information they need when they need it. Review schedules, clock in/out with GPS verification, review care plans, message, and document all from the mobile app. Now that’s easy!
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Nebula docs
Documentation repo of nebula orchestration system
Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are appliances\virtual... -
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Microsoft Python Language Server
Microsoft Language Server for Python
Microsoft Python Language Server implements the Language Server Protocol. Its primary clients are the Python extension for VS Code and Python Tools for Visual Studio. Feel free to file issues or ask questions on our issue tracker, and we welcome code contributions. Linting can be controlled via the user configuration. In VS Code, this is settings.json. To control the visibility and severity of the diagnotics, there are a number of lists that can be set in the user configuration which make... -
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Software for exploring & solving polyform puzzles, written in Python. Includes solvers for: pentominoes/polyominoes, solid pentominoes, Soma cubes, polycubes, polyiamonds, polyhexes, polysticks, and more to come.
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Coursebook
Introductory Systems Programming Textbook for University of Illinois
Welcome to the systems programming coursebook! This repository houses a high-quality, open-source introductory systems programming textbook used by the CS 341: System Programming course at the University of Illinois at Urbana-Champaign The book assumes that you have taken a programming language course and are familiar with assembly instructions. All of the code and instruction will be in C, as it is the de-facto language of the Linux Kernel. -
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Nebula reporter
The optional reporter container which reads nebula reports from Kafka
Nebula is an open source-distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking effect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe. Ever wandered how your going to push an update... -
The Simple HR SolutionSay goodbye to messy spreadsheets and paperwork – get the HR tools large companies use, without the big price tag
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Ryzom Core is a toolkit for the development of massively online universes. It provides the base technologies and a set of development methodologies for the development of both client and server code.
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Project Malmo
A platform for Artificial Intelligence experimentation on Minecraft
How can we develop artificial intelligence that learns to make sense of complex environments? That learns from others, including humans, how to interact with the world? That learns transferable skills throughout its existence, and applies them to solve new, challenging problems? Project Malmo sets out to address these core research challenges, addressing them by integrating (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. The Malmo platform... -
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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Coach
Enables easy experimentation with state of the art algorithms
Coach is a python framework that models the interaction between an agent and an environment in a modular way. With Coach, it is possible to model an agent by combining various building blocks, and training the agent on multiple environments. The available environments allow testing the agent in different fields such as robotics, autonomous driving, games and more. It exposes a set of easy-to-use APIs for experimenting with new RL algorithms and allows simple integration of new environments... -
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CSV-Sanitizer
Allows the user to automatically create non-sensitive, sanitized CSVs
This project will allow the user to create non-sensitive, sanitized CSVs automatically, given any CSVs present. Its purpose? Create an easy way for people to share tasks or code that rely on sensitive CSVs, without exposing sensitive data. This project is conducted in Python3. Please see the Readme for more information :) -
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chinese-dos-games-web
Source code for chinese-dos-games-web
Chinese-dos-games-web. Source code of https://dos.zczc.cz. -
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Embed Prolog directly in your Python, C# or Javascript program using the yield keyword. There is no API standing between your code and Yield Prolog, so you can use all language features, including arrays, file I/O, user interaction and your own classes.
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Climate Modeling Courseware
Interactive lecture notes and assignments in Jupyter notebook format
A collection of interactive lecture notes and assignments for a graduate-level climate modeling course. ATM 623 Climate Modeling is an advanced graduate course on climate dynamics and climate modeling. The focus of the course is on the hands-on use of both simple and complex climate models to build an understanding of the processes that control the planetary energy budget. The course makes extensive use of Python code and the Jupyter notebook for reproducible, self-describing calculations... -
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Platformer 2D Godot Game
Test project with a 2D platform game developing in Godot 3.1
Test project with a 2D platform game developing in Godot 3.1, reusable mechanics for: State Machine, basics AI, Android Games. -
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EasyUpload
Uploading files from Android to a desktop PC.
...Just select the images from the Android device, establish a connection to the server using its IPv4 address and port number, and then upload the images in a fast way. The source code of both the client and server apps are available in this GitHub page: https://github.com/ahmedfgad/AndroidFlask The project is documented in a Heartbeat tutorial titled available here: https://heartbeat.fritz.ai/uploading-images-from-android-to-a-python-based-flask-server-691e4092a95e Logo image from flaticon.com by phatplus (https://www.flaticon.com/authors/phatplus) -
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nuBASIC
BASIC language interpreter (multiplatform)
nuBASIC is an implementation of an interpreter of the BASIC programming language and IDE. It has been designed mainly for educational purposes and it is suitable for simple games, educational or small business programs. -
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EasyUpload
EasyUpload Server Accepts Images from Android to be Uploaded to a PC
...Download the server project from here: http://easyupload.sourceforge.net The simplicity of using EasyUpload helps to avoid using Bluetooth for image transfer. The project just works for images and later it can work with any type of files. The source code of both the client and server apps are available in this GitHub page: https://github.com/ahmedfgad/AndroidFlask The project is documented in a Heartbeat tutorial titled "Uploading images from Android to a Python-based Flask server" available here: https://heartbeat.fritz.ai/uploading-images-from-android-to-a-python-based-flask-server-691e4092a95e Logo image from flaticon.com by phatplus (https://www.flaticon.com/authors/phatplus) -
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wxCppPy
Applciation c++/wxWidgets pilotable via python grâce à pybind11.
C'est une petite application pour un tutoriel en cour d'écriture sur http://www.suryavarman.fr. L'objectif est d'utiliser pybind11 pour exporter vers python les accès à l'interface graphique. Les librairies utilisées sont : - pybind11 : https:/pybind11.readthedocs.io - CppClay : https:/sourceforge.net/projects/cppclay - wxPython4 : https:/github.com/wxWidgets/Phoenix - wxWidgets3 : utiliser le sous module du dépôt wxPython. Le projet est une solution CodeBlocks. Elle... -
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CakeChat
CakeChat: Emotional Generative Dialog System
CakeChat is a backend for chatbots that are able to express emotions via conversations. The code is flexible and allows to condition model's responses by an arbitrary categorical variable. For example, you can train your own persona-based neural conversational model or create an emotional chatting machine. Hierarchical Recurrent Encoder-Decoder (HRED) architecture for handling deep dialog context. Multilayer RNN with GRU cells. The first layer of the utterance-level encoder is always... -
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TGAN
Generative adversarial training for generating synthetic tabular data
We are happy to announce that our new model for synthetic data called CTGAN is open-sourced. The new model is simpler and gives better performance on many datasets. TGAN is a tabular data synthesizer. It can generate fully synthetic data from real data. Currently, TGAN can generate numerical columns and categorical columns. TGAN has been developed and runs on Python 3.5, 3.6 and 3.7. Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid... -
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xLearn
High performance, easy-to-use, and scalable machine learning (ML)
xLearn is a high-performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM), all of which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data. Many real-world datasets deal with high dimensional sparse feature vectors like a recommendation system where the number of categories and...
