Showing 123 open source projects for "showeq open source project"

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  • 1
    Reinforcement Learning Methods

    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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  • 2
    Brain Tokyo Workshop

    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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  • 3
    Machine Learning PyTorch Scikit-Learn

    Machine Learning PyTorch Scikit-Learn

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

    Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing...
    Downloads: 2 This Week
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  • 4
    Arrear_Pension_Calculator

    Arrear_Pension_Calculator

    Simple app for calculating arrear pension amount of a given period.

    ...This application calculates arrear (Due - Drawn) / overdrawn / recovery of pension between any given periods. This app is not associated with the Govt. This app is for informational purpose only. This project is open source under GNU public license v3.0
    Downloads: 0 This Week
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  • 5
    internet-control

    internet-control

    Control how long your childs computer is connected to the internet

    internet-control is a very special implementation of parental control. It allows the child to be productive at the computer while lowering the danger of addiction to a minimum. Instead of restricting the time the computer may be used, it allows parents to restrict the time the computer may be connected to the internet. This way the child is still able to do its homework at the computer, but the danger of addiction to a game or social media application is minimised - the unpredictabillity...
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  • 6
    Muc_systray x86

    Muc_systray x86

    A demonstration python animation system tray X86

    This project show you the potential of mini meme on your taskbar. That will help to maximize your OC expose promotion and the the way interaction. Full source code accessible.
    Downloads: 0 This Week
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  • 7
    Showtime

    Showtime

    A Minor Project made in Python using OMDb API and Tkinter for Frontend

    A Minor Project made in Python using Tkinter for frontend which fetches Data about Movies/TV-Series from an Online Database and uses the OMDB REST API and pyImdb to show Information about movies. Github : https://github.com/Cyborg117/Showtime
    Downloads: 0 This Week
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  • 8
    PersonGen

    PersonGen

    A minor Project in Python which uses the RandomUser API .

    A Small Program in Python That Makes Use of RandomUser API To Generate Random Person Data.
    Downloads: 0 This Week
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  • 9
    workshops_project

    workshops_project

    Workshops is an open source, simple, dead-lightweight LMS

    Workshops is an open source, simple, dead-lightweight LMS (Learning Management System) application programmed in Python (version 3.8.x) with Django (version 2.2.x) web framework which main purpose is to make a standarized way to share knowledge via courses in a slide-based view in browser powered by remark javascript library, easy to create, edit, delete and show your courses using simple markdown and html if necessary.
    Downloads: 0 This Week
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  • 10
    pySioGame / eduActiv8

    pySioGame / eduActiv8

    Educational Activities for Kids

    The pySioGame project has been renamed to eduActiv8 - please visit the new project page at https://sourceforge.net/projects/eduactiv8/ More info available at http://www.eduactiv8.org Packages for multiple Linux distributions of eduActiv8 are available from: https://software.opensuse.org//download.html?project=home%3Aimiolek-i&package=eduactiv8
    Downloads: 1 This Week
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  • 11
    Tensorflow 2017 Tutorials

    Tensorflow 2017 Tutorials

    Tensorflow tutorial from basic to hard

    Tensorflow 2017 Tutorials is a structured set of tutorials that introduce developers to TensorFlow, starting with basic neural network constructs and progressing to sophisticated model architectures and training techniques. This repository covers essential building blocks like sessions (for older TF versions), placeholders, variables, activation functions, and optimizers, before guiding learners through building end-to-end models for regression, classification, and data pipelines. Beyond the...
    Downloads: 0 This Week
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  • 12
    The Player Project: Player is a networked interface to robots and sensors. Stage and Gazebo are Player-friendly multiple-robot simulators. The software aims for POSIX compliance and runs on most UNIX-like OS's. Some parts also work on Windows.
    Downloads: 5 This Week
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  • 13
    pytorch-tutorial

    pytorch-tutorial

    PyTorch Tutorial for Deep Learning Researchers

    pytorch-tutorial is a highly popular educational repository that teaches deep learning with PyTorch through step-by-step examples and well-structured lessons. It is designed primarily for beginners and intermediate practitioners who want to understand PyTorch fundamentals and quickly move toward building real neural network models. The repository walks users through core concepts such as tensors, autograd, neural network modules, convolutional networks, recurrent networks, and transfer...
    Downloads: 0 This Week
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  • 14
    PyTorch GAN Zoo

    PyTorch GAN Zoo

    A mix of GAN implementations including progressive growing

    PyTorch GAN Zoo is a comprehensive open research toolbox designed for experimenting with and developing Generative Adversarial Networks (GANs) using PyTorch. The project provides modular implementations of popular GAN architectures, including Progressive Growing of GANs (PGAN), DCGAN, and an experimental StyleGAN version. It is built to support both researchers and developers who want to train, evaluate, and extend GANs efficiently across diverse datasets such as CelebA-HQ, FashionGen, DTD,...
    Downloads: 0 This Week
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  • 15
    Neural MMO

    Neural MMO

    Code for the paper "Neural MMO: A Massively Multiagent Game..."

    Neural MMO is a massively multi-agent simulation environment developed by OpenAI for reinforcement learning research. It provides a persistent, procedurally generated world where thousands of agents can interact, compete, and cooperate in real time. The environment is inspired by Massively Multiplayer Online Role-Playing Games (MMORPGs), featuring resource gathering, combat mechanics, exploration, and survival challenges. Agents learn behaviors in a shared ecosystem that supports long-term...
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  • 16
    Evolution Strategies Starter

    Evolution Strategies Starter

    Code for the paper "Evolution Strategies.."

    evolution-strategies-starter is an archived OpenAI research project that provides a distributed implementation of the algorithm described in the paper “Evolution Strategies as a Scalable Alternative to Reinforcement Learning” by Tim Salimans, Jonathan Ho, Xi Chen, and Ilya Sutskever. The repository demonstrates how to scale Evolution Strategies (ES) for reinforcement learning tasks using a master-worker architecture, where the master node broadcasts parameters to multiple workers, and the...
    Downloads: 0 This Week
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  • 17
    schoolsplay
    If you are looking for the childsplay application please go to http://www.childsplay.mobi
    Downloads: 46 This Week
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  • 18
    Tasks

    Tasks

    Program to manage tasks

    Tasks aims management of tasks easy. It allows for more advanced features such as tagging tasks with custom categories, importance, subtasks and dates while also making it easy to create them. All a tasks need to be present is a title!
    Downloads: 0 This Week
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  • 19
    Learning to Learn in TensorFlow

    Learning to Learn in TensorFlow

    Learning to Learn in TensorFlow

    Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a...
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  • 20
    TensorFlow World

    TensorFlow World

    Simple and ready-to-use tutorials for TensorFlow

    This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high interest these days - there's a crucial need for rapid and optimized implementations of the algorithms and architectures. ...
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  • 21

    Mathmaker

    Generator of maths worksheets and their detailed solutions

    This project aims to produce elementary math worksheets & answers automatically. It is meant to be used - by pupils to get as many sheets as they want - by teachers to re-use the produced sheets in their own work. Documentation for users is there: http://mathmaker.readthedocs.io/en/master/user_index.html
    Downloads: 1 This Week
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  • 22
    mediaTUM is free software written in Python for archiving and retrieval of images, documents and other research data. It was originally developed in the framework of the DFG project IntegraTUM and is continuously expanded with new functionalities as required.
    Downloads: 0 This Week
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  • 23
    JDFeditor

    JDFeditor

    GUI application for editing database files.

    The purpose is to be a cross-platform, quick and simple database manager, main goal is to provide developers with a tool to produce small to medium size databases efficiently. If you need a database at its simplest form, without any extra hassle of knowing how to access the produced library. Then JDFeditor is the right tool for you. JDFeditor is bundled with an easy-to-use Python library: jdf_lib. jdf_lib will quickly load the content of your database into a variable. All you need...
    Downloads: 1 This Week
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  • 24

    AlgVar

    Algorithmic Variations

    An educational project aimed at illustrating programming language concepts and implementation techniques in different programming languages.
    Downloads: 0 This Week
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  • 25
    Collective Mind Technology

    Collective Mind Technology

    plugin-based framework for systematic and reproducible experimentation

    New version moved to http://github.com/ctuning/ck Collective Mind framework (cM) is an open-source plugin-based schema-free repository and infrastructure for collaborative, systematic and reproducible research and experimentation. This 3rd version (started in 2006) helps to implement, preserve, share and reproduce the whole experimental setup as connected modules and data. cM uses crowdsourcing to leverage knowledge and computational resources of multiple users. For example, it...
    Downloads: 0 This Week
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