Search Results for "virtual windows machine" - Page 5

Showing 4986 open source projects for "virtual windows machine"

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  • 1
    The Unsplash Dataset

    The Unsplash Dataset

    Unsplash images made available for research and machine learning

    The Unsplash Dataset is made up of over 350,000+ contributing global photographers and data sourced from hundreds of millions of searches across a nearly unlimited number of uses and contexts. Due to the breadth of intent and semantics contained within the Unsplash dataset, it enables new opportunities for research and learning.
    Downloads: 2 This Week
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  • 2
    Keras

    Keras

    Python-based neural networks API

    Python Deep Learning library
    Downloads: 12 This Week
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  • 3
    Coursera-ML-AndrewNg-Notes

    Coursera-ML-AndrewNg-Notes

    Personal notes from Wu Enda's machine learning course

    Coursera-ML-AndrewNg-Notes is an open-source repository that provides detailed study notes and explanations for Andrew Ng’s well-known machine learning course. The project aims to help students understand the mathematical concepts, algorithms, and intuition behind fundamental machine learning techniques taught in the course. It organizes the material into clear written summaries that accompany each lecture topic, including supervised learning, regression methods, neural networks, and...
    Downloads: 1 This Week
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  • 4
    ArkScript

    ArkScript

    ArkScript is a small, fast, functional and scripting language for C++

    ArkScript is a small, fast, functional and scripting language for C++ projects.
    Downloads: 0 This Week
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  • 5
    SageMaker Python SDK

    SageMaker Python SDK

    Training and deploying machine learning models on Amazon SageMaker

    SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. You can also train and deploy models with Amazon algorithms, which are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training. If you have your own algorithms built into SageMaker-compatible Docker...
    Downloads: 1 This Week
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  • 6
    Expr

    Expr

    Expression language and expression evaluation for Go

    Expr package provides an engine that can compile and evaluate expressions. An expression is a one-liner that returns a value (mostly, but not limited to, booleans). It is designed for simplicity, speed and safety. The purpose of the package is to allow users to use expressions inside configuration for more complex logic. It is a perfect candidate for the foundation of a business rule engine. The idea is to let configure things in a dynamic way without recompile of a program.
    Downloads: 0 This Week
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  • 7
    Besu Ethereum Client

    Besu Ethereum Client

    An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client

    ...Participation in private networks is typically restricted in some way, so the volume of traffic is much lower than on Mainnet, resulting in lower system requirements. Depending on your environment and network setup, the minimum Java Virtual Machine (JVM) memory requirement for private networks is 4 GB.
    Downloads: 2 This Week
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  • 8
    Unity ML-Agents Toolkit

    Unity ML-Agents Toolkit

    Unity machine learning agents toolkit

    Train and embed intelligent agents by leveraging state-of-the-art deep learning technology. Creating responsive and intelligent virtual players and non-playable game characters is hard. Especially when the game is complex. To create intelligent behaviors, developers have had to resort to writing tons of code or using highly specialized tools. With Unity Machine Learning Agents (ML-Agents), you are no longer “coding” emergent behaviors, but rather teaching intelligent agents to “learn” through a combination of deep reinforcement learning and imitation learning. ...
    Downloads: 0 This Week
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  • 9
    MLflow

    MLflow

    Open source platform for the machine learning lifecycle

    MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud).
    Downloads: 3 This Week
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  • 10
    huggingface_hub

    huggingface_hub

    The official Python client for the Huggingface Hub

    The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the thousands of machine-learning apps hosted on the Hub. You can also create and share your own models, datasets, and demos with the community. The huggingface_hub library provides a simple way to do all these things with Python.
    Downloads: 4 This Week
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  • 11
    ffmpeg-over-ip

    ffmpeg-over-ip

    Connect to remote ffmpeg servers

    ffmpeg-over-ip is a client-server system that enables remote execution of FFmpeg commands on a machine with GPU access while controlling it from another environment such as a container or virtual machine. It allows applications without direct GPU access to offload video transcoding tasks to a remote server, improving performance without requiring complex passthrough setups. The system works by coordinating commands through a lightweight protocol while using a shared filesystem to exchange media data. ...
    Downloads: 0 This Week
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  • 12
    Humanizer Skill

    Humanizer Skill

    Claude Code skill that removes signs of AI-generated writing from text

    Humanizer Skill is a utility library focused on transforming technical or machine-oriented text into expressions that are more natural, readable, and “human-friendly.” It provides a suite of algorithms that convert timestamps, identifiers, file sizes, code tokens, and structured data into phrases that resemble typical human phrasing rather than compact machine output. For example, date and time values can be expressed as relative terms (“two hours ago”), and file sizes can be shown in...
    Downloads: 135 This Week
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  • 13
    Nodeenv

    Nodeenv

    Virtual environment for Node.js & integrator with virtualenv

    A Python tool that creates isolated Node.js virtual environments, similar to Python's virtualenv.
    Downloads: 0 This Week
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  • 14
    Otter-Grader

    Otter-Grader

    A Python and R autograding solution

    ...Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope.
    Downloads: 0 This Week
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  • 15
    IREE

    IREE

    A retargetable MLIR-based machine learning compiler runtime toolkit

    IREE (Intermediate Representation Execution Environment, pronounced as "eerie") is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the data center and down to satisfy the constraints and special considerations of mobile and edge deployments.
    Downloads: 2 This Week
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  • 16
    River ML

    River ML

    Online machine learning in Python

    River is a Python library for online machine learning. It aims to be the most user-friendly library for doing machine learning on streaming data. River is the result of a merger between creme and scikit-multiflow.
    Downloads: 0 This Week
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  • 17
    Clash

    Clash

    Haskell to VHDL/Verilog/SystemVerilog compiler

    Clash is a functional hardware description language that borrows both its syntax and semantics from the functional programming language Haskell. It provides a familiar structural design approach to both combinational and synchronous sequential circuits. The Clash compiler transforms these high-level descriptions to low-level synthesizable VHDL, Verilog, or SystemVerilog. Clash is an open-source project, licensed under the permissive BSD2 license, and actively maintained by QBayLogic. The...
    Downloads: 10 This Week
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  • 18
    Orion

    Orion

    A machine learning library for detecting anomalies in signals

    Orion is a machine-learning library built for unsupervised time series anomaly detection. Such signals are generated by a wide variety of systems, few examples include telemetry data generated by satellites, signals from wind turbines, and even stock market price tickers. We built this to provide one place where users can find the latest and greatest in machine learning and deep learning world including our own innovations. Abstract away from the users the nitty-gritty about preprocessing,...
    Downloads: 0 This Week
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  • 19
    Gradio

    Gradio

    Create UIs for your machine learning model in Python in 3 minutes

    Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate a public link you can share with colleagues that...
    Downloads: 6 This Week
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  • 20
    ggml

    ggml

    Tensor library for machine learning

    ggml is an open-source tensor library designed for efficient machine learning computation with a focus on running models locally and with minimal dependencies. Written primarily in C and C++, the library provides low-level tensor operations and automatic differentiation that allow developers to implement machine learning algorithms and neural networks efficiently. The project emphasizes portability and performance, enabling machine learning inference across a wide range of hardware...
    Downloads: 1 This Week
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  • 21
    NSFWDetector

    NSFWDetector

    A NSFW detector with CoreML

    NSFWDetector is a small (17 kB) CoreML Model to scan images for nudity. It was trained using CreateML to distinguish between porn/nudity and appropriate pictures. With the main focus on distinguishing between Instagram model-like pictures and porn.
    Downloads: 12 This Week
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  • 22
    emgucv

    emgucv

    Cross platform .Net wrapper to the OpenCV image processing library

    Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages. The wrapper can be compiled by Visual Studio and Unity, it can run on Windows, Linux, Mac OS, iOS and Android.
    Downloads: 18 This Week
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  • 23
    pyAudioAnalysis

    pyAudioAnalysis

    Python Audio Analysis Library: Feature Extraction, Classification

    pyAudioAnalysis is an open-source Python library designed for audio signal analysis, machine learning, and music information retrieval tasks. The project provides a collection of tools that allow developers to extract meaningful features from audio files and use those features for classification, segmentation, and analysis. The library supports multiple audio processing workflows, including feature extraction from raw audio signals, training of machine learning models, and automatic audio...
    Downloads: 2 This Week
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  • 24
    MLOps Zoomcamp

    MLOps Zoomcamp

    Free MLOps course from DataTalks.Club

    MLOps Zoomcamp is an open-source educational repository that contains the materials for a free course focused on machine learning operations and production machine learning systems. The course is designed to teach data scientists and engineers how to move machine learning models from experimentation environments into scalable production services. The repository provides lessons, code examples, and assignments that cover the entire MLOps lifecycle, including model training, experiment...
    Downloads: 0 This Week
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  • 25
    AI-Tutorials/Implementations Notebooks

    AI-Tutorials/Implementations Notebooks

    Codes/Notebooks for AI Projects

    AI-Tutorials/Implementations Notebooks repository is a comprehensive collection of artificial intelligence tutorials and implementation examples intended for developers, students, and researchers who want to learn by building practical AI projects. The repository contains numerous Jupyter notebooks and code samples that demonstrate modern techniques in machine learning, deep learning, data science, and large language model workflows. It includes implementations for a wide range of AI topics...
    Downloads: 4 This Week
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