Showing 5 open source projects for "csp"

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  • AestheticsPro Medical Spa Software Icon
    AestheticsPro Medical Spa Software

    Our new software release will dramatically improve your medspa business performance while enhancing the customer experience

    AestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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  • Simplify Purchasing For Your Business Icon
    Simplify Purchasing For Your Business

    Manage what you buy and how you buy it with Order.co, so you have control over your time and money spent.

    Simplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
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  • 1
    Digna Web Scanner

    Digna Web Scanner

    A tool to check web apps for vulnerabilty

    ...Insecure Direct Object References (IDOR): Scans for vulnerabilities that might enable attackers to access unauthorized data by manipulating direct object references. Open Ports: Detects open ports on the target web server to understand its potential attack surface. Content Security Policy (CSP): Checks if the website has a properly configured CSP to mitigate XSS and other injection RCE
    Downloads: 15 This Week
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  • 2
    MMClassification

    MMClassification

    OpenMMLab Image Classification Toolbox and Benchmark

    MMClassification is an open-source image classification toolbox based on PyTorch. It is a part of the OpenMMLab project. Supports DenseNet, VAN and PoolFormer, and provide pre-trained models. Supports training on IPU. Supports a series of CSP networks, such as CSP-ResNet, CSP-ResNeXt and CSP-DarkNet. MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedback. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to re-implement existing methods and develop their own new classifiers. ...
    Downloads: 0 This Week
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  • 3
    YOLOv4-large

    YOLOv4-large

    Scaled-YOLOv4: Scaling Cross Stage Partial Network

    ...The repository includes multiple model variants such as YOLOv4-tiny, YOLOv4-CSP, and large-scale configurations designed for high-performance detection tasks.
    Downloads: 0 This Week
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  • 4
    SimData-CSP is a C++ library for data management in simulations that provides dynamic object creation, automatic binding to external static data at runtime (using precompiled XML), and many data classes useful in simulations (with full Python bindings).
    Downloads: 0 This Week
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  • Skillfully - The future of skills based hiring Icon
    Skillfully - The future of skills based hiring

    Realistic Workplace Simulations that Show Applicant Skills in Action

    Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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  • 5
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    ...Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. ...
    Downloads: 0 This Week
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