Showing 7 open source projects for "mirror"

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  • Our Free Plans just got better! | Auth0 Icon
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  • Simple Scheduling Software Icon
    Simple Scheduling Software

    To Streamline Operations And Drive Productivity.

    Visual Planning is a simple yet powerful resource management and scheduling solution. Thousands of organizations are using it to share schedules with colleagues and work together more efficiently.
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  • 1
    fpdf2

    fpdf2

    Simple PDF generation for Python

    fpdf2 is a library for simple & fast PDF document generation in Python. It is a fork and the successor of PyFPDF. Compared with other PDF libraries, fpdf2 is fast, versatile, easy to learn and to extend (example). It is also entirely written in Python and has very few dependencies: Pillow, defusedxml, & fontTools. It is a fork and the successor of PyFPDF.
    Downloads: 4 This Week
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  • 2
    urllib3

    urllib3

    Python HTTP library with thread-safe connection pooling

    urllib3 is a powerful, user-friendly HTTP client for Python. Much of the Python ecosystem already uses urllib3 and you should too. Thread safety, connection pooling. Client-side TLS/SSL verification. File uploads with multipart encoding. Helpers for retrying requests and dealing with HTTP redirects. Support for gzip, deflate, brotli, and zstd encoding. Proxy support for HTTP and SOCKS. 100% test coverage. Professional support for urllib3 is available as part of the Tidelift Subscription....
    Downloads: 1 This Week
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  • 3
    GitHub520

    GitHub520

    Community-maintained approach to improving access to GitHub services

    GitHub520 is a community-maintained approach to improving access to GitHub services from regions with network friction by leveraging host mappings. The repository provides a regularly updated list of domain-to-IP entries meant to be appended to a system’s hosts file so certain GitHub endpoints resolve faster or more reliably. It includes scripts or guidance to automate updates, reducing the need for manual lookups when IPs change. The project’s goal is pragmatic: improve developer...
    Downloads: 0 This Week
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  • 4
    Recommenders 2023

    Recommenders 2023

    Best Practices on Recommendation Systems

    Recommenders objective is to assist researchers, developers and enthusiasts in prototyping, experimenting with and bringing to production a range of classic and state-of-the-art recommendation systems. Recommenders is a project under the Linux Foundation of AI and Data.
    Downloads: 0 This Week
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  • viewneo - Smart software for digital advertising boards Icon
    viewneo - Smart software for digital advertising boards

    Smart digital signage for 1 to 1000+ screens.

    viewneo is a user-friendly, cloud-based solution that allows companies of all sizes to set up digital signage
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  • 5
    Awesome Free ChatGPT

    Awesome Free ChatGPT

    List of free ChatGPT mirror sites, continuously updated

    ...Continually updated mirror list to maintain availability.
    Downloads: 0 This Week
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  • 6
    BeaEngine 5

    BeaEngine 5

    BeaEngine disasm project

    BeaEngine is a C library designed to decode instructions from 16-bit, 32-bit and 64-bit intel architectures. It includes standard instructions set and instructions set from FPU, MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, VMX, CLMUL, AES, MPX, AVX, AVX2, AVX512 (VEX & EVEX prefixes), CET, BMI1, BMI2, SGX, UINTR, KL, TDX and AMX extensions. If you want to analyze malicious codes and more generally obfuscated codes, BeaEngine sends back a complex structure that describes precisely the...
    Downloads: 0 This Week
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  • 7
    Mixup-CIFAR10

    Mixup-CIFAR10

    mixup: Beyond Empirical Risk Minimization

    mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more...
    Downloads: 0 This Week
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