Showing 5434 open source projects for "machine"

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  • 1
    TorchIO

    TorchIO

    Medical imaging toolkit for deep learning

    TorchIO is an open-source Python library for efficient loading, preprocessing, augmentation and patch-based sampling of 3D medical images in deep learning, following the design of PyTorch. It includes multiple intensity and spatial transforms for data augmentation and preprocessing. These transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity...
    Downloads: 2 This Week
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  • 2
    Deployer

    Deployer

    Deployment tool with support for popular frameworks out of the box

    ...You may want to run some task before/after other tasks. Configuring that is really simple! Defining a host in Deployer is necessary to deploy your application. It can be a remote machine, a local machine or Amazon EC2 instances. Each host contains a hostname, a stage, one or more roles and configuration parameters.
    Downloads: 2 This Week
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  • 3
    CImGui

    CImGui

    Julia wrapper for cimgui

    This package provides a Julia language wrapper for cimgui: a thin c-api wrapper programmatically generated for the excellent C++ immediate mode gui Dear ImGui. Dear ImGui is mainly for creating content creation tools and visualization / debug tools. You could browse Gallery to get an idea of its use cases.
    Downloads: 7 This Week
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  • 4
    Jittor

    Jittor

    Jittor is a high-performance deep learning framework

    Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement...
    Downloads: 4 This Week
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  • Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud Icon
    Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud

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  • 5
    fastai

    fastai

    Deep learning library

    fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying...
    Downloads: 4 This Week
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  • 6
    JumpServer

    JumpServer

    Manage assets on different clouds at the same time

    The JumpServer bastion machine complies with the 4A specification of operation and maintenance security audit. Zero threshold, fast online acquisition and installation. Just a browser, the ultimate Web Terminal experience. Easily support massive concurrent access. One system manages assets on different clouds at the same time. Audit recordings are stored in the cloud and will never be lost.
    Downloads: 13 This Week
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  • 7
    SwiftLint

    SwiftLint

    A tool to enforce Swift style and conventions

    ...This also keeps SwiftLint lean, as it doesn’t need to ship with a full Swift compiler, it just communicates with the official one you already have installed on your machine.
    Downloads: 40 This Week
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  • 8
    Power Pwn

    Power Pwn

    Repurpose Microsoft-trusted executables, service accounts, etc.

    Repurpose Microsoft-trusted executables, service accounts and cloud services to power a malware operation. These materials are presented from an attacker’s perspective with the goal of raising awareness to the risks of underestimating the security impact of No Code/Low Code. No Code/Low Code is awesome.
    Downloads: 4 This Week
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  • 9
    doccano

    doccano

    Open source annotation tool for machine learning practitioners

    doccano is an open-source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence-to-sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours.
    Downloads: 4 This Week
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  • 10
    Node exporter

    Node exporter

    Exporter for machine metrics

    Power your metrics and alerting with a leading open-source monitoring solution. Prometheus implements a highly dimensional data model. Time series are identified by a metric name and a set of key-value pairs. PromQL allows slicing and dicing of collected time series data in order to generate ad-hoc graphs, tables, and alerts. Prometheus has multiple modes for visualizing data: a built-in expression browser, Grafana integration, and a console template language. Prometheus stores time series...
    Downloads: 18 This Week
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  • 11
    Vuls

    Vuls

    Agentless vulnerability scanner for Linux/FreeBSD

    ...Vuls uses multiple vulnerability databases NVD, JVN, OVAL, RHSA/ALAS/ELSA/FreeBSD-SA and Changelog. Vuls v0.5.0 now possible to detect vulnerabilities that patches have not been published from distributors. Remote scan mode is required to only setup one machine that is connected to other scan target servers via SSH. If you don't want the central Vuls server to connect to each server by SSH, you can use Vuls in the Local Scan mode. Fast scan mode scans without root privilege, no internet access, almost no load on the scan target server. Deep scan mode scans in more detail. It is possible to acquire the state of the server executing some commands. ...
    Downloads: 31 This Week
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  • 12
    windows_hardening

    windows_hardening

    HardeningKitty and Windows Hardening Settings

    This repository, also known as HardeningKitty, is a comprehensive Windows hardening checklist for personal and enterprise environments. It translates security benchmarks (e.g., CIS, Microsoft Security Baselines) into actionable Group Policy and registry recommendations. Though designed primarily for Windows 10, it includes workaround modes such as “HailMary” for Windows Home users lacking the Group Policy Editor.
    Downloads: 5 This Week
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  • 13
    Raster Vision

    Raster Vision

    Open source framework for deep learning satellite and aerial imagery

    ...There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training models, creating predictions, evaluating models, and bundling the model files and configuration for easy deployment. The input to a Raster Vision pipeline is a set of images and training data, optionally with Areas of Interest (AOIs) that describe where the images are labeled. ...
    Downloads: 0 This Week
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  • 14
    Deep Learning Essay Reading

    Deep Learning Essay Reading

    Read classic and new deep learning papers paragraph by paragraph

    Deep Learning Essay Reading repository is a comprehensive collection of machine learning and deep learning research summaries designed to make cutting-edge academic work more accessible. Instead of reading entire dense academic papers, contributors provide structured breakdowns and insights into the most influential research from the past decade, often including explanation highlights and key takeaways. The content spans foundational models, architectures, and training methodologies across computer vision, natural language processing, generative models, and other machine learning domains. ...
    Downloads: 1 This Week
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  • 15
    ML for Beginners

    ML for Beginners

    12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

    ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. ...
    Downloads: 1 This Week
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  • 16
    OpenVSCode Server

    OpenVSCode Server

    Run upstream VS Code on a remote machine with access

    This project provides a version of VS Code that runs a server on a remote machine and allows access through a modern web browser. It's based on the very same architecture used by Gitpod or GitHub Codespaces at scale. VS Code has traditionally been a desktop IDE built with web technologies. A few years back, people started patching it in order to run it in a remote context and to make it accessible through web browsers.
    Downloads: 1 This Week
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  • 17
    AutoMLOps

    AutoMLOps

    Build MLOps Pipelines in Minutes

    AutoMLOps is a service that generates, provisions, and deploys CI/CD integrated MLOps pipelines, bridging the gap between Data Science and DevOps. AutoMLOps provides a repeatable process that dramatically reduces the time required to build MLOps pipelines. The service generates a containerized MLOps codebase, provides infrastructure-as-code to provision and maintain the underlying MLOps infra, and provides deployment functionalities to trigger and run MLOps pipelines. AutoMLOps gives...
    Downloads: 1 This Week
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  • 18
    notfoundbot

    notfoundbot

    fix & archive outgoing links on your website

    ...It finds links that need fixing and opens pull requests that fix them. This action is intended for websites and blogs powered by static site generators. By using post dates derived from filenames, notfoundbot searches for Wayback Machine archives of linked resources that are contemporary to the post itself: broken links in a 2011 blog post will be linked to archives from around that era.
    Downloads: 0 This Week
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  • 19
    Tokenizers

    Tokenizers

    Fast State-of-the-Art Tokenizers optimized for Research and Production

    Fast State-of-the-art tokenizers, optimized for both research and production. Tokenizers provides an implementation of today’s most used tokenizers, with a focus on performance and versatility. These tokenizers are also used in Transformers. Train new vocabularies and tokenize, using today’s most used tokenizers. Extremely fast (both training and tokenization), thanks to the Rust implementation. Takes less than 20 seconds to tokenize a GB of text on a server’s CPU. Easy to use, but also...
    Downloads: 1 This Week
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  • 20
    TensorRT Backend For ONNX

    TensorRT Backend For ONNX

    ONNX-TensorRT: TensorRT backend for ONNX

    Parses ONNX models for execution with TensorRT. Development on the main branch is for the latest version of TensorRT 8.4.1.5 with full dimensions and dynamic shape support. For previous versions of TensorRT, refer to their respective branches. Building INetwork objects in full dimensions mode with dynamic shape support requires calling the C++ and Python API. Current supported ONNX operators are found in the operator support matrix. For building within docker, we recommend using and setting...
    Downloads: 1 This Week
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  • 21
    PyTorch Ignite

    PyTorch Ignite

    Library to help with training and evaluating neural networks

    High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Less code than pure PyTorch while ensuring maximum control and simplicity. Library approach and no program's control inversion. Use ignite where and when you need. Extensible API for metrics, experiment managers, and other components. The cool thing with handlers is that they offer unparalleled flexibility (compared to, for example, callbacks). Handlers can be any function: e.g....
    Downloads: 1 This Week
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  • 22
    DeepSeed

    DeepSeed

    Deep learning optimization library making distributed training easy

    DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. DeepSpeed delivers extreme-scale model training for everyone, from data scientists training on massive supercomputers to those training on low-end clusters or even on a single GPU. Using current generation of GPU clusters with hundreds of devices, 3D parallelism of DeepSpeed can efficiently train deep learning models with trillions of parameters. With just a single GPU,...
    Downloads: 1 This Week
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  • 23
    MinIO

    MinIO

    High performance object storage server compatible with Amazon S3 APIs

    MinIO is a high performance object storage server that is API compatible with Amazon S3 cloud storage service. MinIO makes it easy to build high performance, cloud native data infrastructure for machine learning, analytics and application data workloads. It is incredibly fast, enabling object storage to operate as the primary storage tier for a diverse set of workloads. It is also built to be cloud native and enterprise ready. MinIO is being used worldwide in various production deployments, and is leading the way as the most downloaded object storage server in the industry.
    Downloads: 12 This Week
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  • 24
    Laravel Tail

    Laravel Tail

    An artisan command to tail your application logs

    This package offers an artisan command to tail the application log. It supports daily and single logs on your local machine.
    Downloads: 1 This Week
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  • 25
    MediaPipe

    MediaPipe

    Cross-platform, customizable ML solutions for live and streaming media

    ...Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU acceleration throughout the pipeline, the solution delivers real-time performance-critical for live experiences. Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control. ...
    Downloads: 53 This Week
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