Showing 9 open source projects for "linux basic programming"

View related business solutions
  • Unimus makes Network Automation and Configuration Management easy. Icon
    Unimus makes Network Automation and Configuration Management easy.

    Deploying Unimus to manage your entire network requires only minutes, allowing for rapid deployment without headaches.

    We aim to make automation, disaster recovery, change management and configuration auditing painless and affordable for a network of any size.
    Learn More
  • Papirfly: Best user-friendly DAM and Content Creation Software Icon
    Papirfly: Best user-friendly DAM and Content Creation Software

    The #1 solution to create and manage content. On‑brand. At scale.

    Papirfly provides a single online destination for all your employees and other stakeholders who are engaging with your brand, ensuring consistency in all aspects of their communications. Teams can produce infinite studio-standard marketing materials from bespoke templates, store, share and adapt them for their own markets and stay firmly educated on the brand’s purpose, guidelines and evolution – with no specialist skills or agency help necessary.
    Learn More
  • 1
    T81 558

    T81 558

    Applications of Deep Neural Networks

    Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    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: 1 This Week
    Last Update:
    See Project
  • 3
    Google Research Football

    Google Research Football

    Check out the new game server

    Google Research Football is a reinforcement learning environment simulating soccer matches. It focuses on learning complex behaviors such as team collaboration and strategy formation in competitive settings.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 4
    ReinforcementLearningAnIntroduction.jl

    ReinforcementLearningAnIntroduction.jl

    Julia code for the book Reinforcement Learning An Introduction

    This project provides the Julia code to generate figures in the book Reinforcement Learning: An Introduction(2nd). One of our main goals is to help users understand the basic concepts of reinforcement learning from an engineer's perspective. Once you have grasped how different components are organized, you're ready to explore a wide variety of modern deep reinforcement learning algorithms in ReinforcementLearningZoo.jl.
    Downloads: 6 This Week
    Last Update:
    See Project
  • Create engaging surveys on your tablet or computer with ease. Icon
    Create engaging surveys on your tablet or computer with ease.

    Choose any of our carefully designed themes, or easily customize colors, fonts, and more to reflect your brand's true look and feel.

    Create great-looking surveys, forms, polls, voting, questionnaires, NPS, customer satisfaction, customer experience, employee satisfaction surveys... on your computer or tablet, customize the look of your survey however you like, & display collected data with eye-catching and insightful graphics.
    Learn More
  • 5
    Trax

    Trax

    Deep learning with clear code and speed

    Trax is an end-to-end library for deep learning that focuses on clear code and speed. It is actively used and maintained in the Google Brain team. Run a pre-trained Transformer, create a translator in a few lines of code. Features and resources, API docs, where to talk to us, how to open an issue and more. Walkthrough, how Trax works, how to make new models and train on your own data. Trax includes basic models (like ResNet, LSTM, Transformer) and RL algorithms (like REINFORCE, A2C, PPO). It...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 6
    Spinning Up in Deep RL

    Spinning Up in Deep RL

    Educational resource to help anyone learn deep reinforcement learning

    Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). For the unfamiliar, reinforcement learning (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning. At OpenAI, we believe that deep learning generally, and deep reinforcement learning specifically, will play central roles in the...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    Project Malmo

    Project Malmo

    A platform for Artificial Intelligence experimentation on Minecraft

    ...The Project Malmo platform consists of a mod for the Java version, and code that helps artificial intelligence agents sense and act within the Minecraft environment. The two components can run on Windows, Linux, or Mac OS, and researchers can program their agents in any programming language they’re comfortable with.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 8
    Tensorpack

    Tensorpack

    A Neural Net Training Interface on TensorFlow, with focus on speed

    Tensorpack is a neural network training interface based on TensorFlow v1. Uses TensorFlow in the efficient way with no extra overhead. On common CNNs, it runs training 1.2~5x faster than the equivalent Keras code. Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit:...
    Downloads: 1 This Week
    Last Update:
    See Project
  • Windocks - Docker Oracle and SQL Server Containers Icon
    Windocks - Docker Oracle and SQL Server Containers

    Deliver faster. Provision data for AI/ML. Enhance data privacy. Improve quality.

    Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances.
    Learn More
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB