Showing 4 open source projects for "simon"

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    glslmath

    glslmath

    C++ header-only library that simulates GLSL math

    ...It rather aims to provide a convenient single header file that implements the most commonly used subset of GLSL so that it is easy to use for rapid prototyping and GLSL teaching purposes. It is used at the Georg-Simon Ohm University of Applied Sciences in Nuremberg for teaching computer graphics courses.
    Downloads: 7 This Week
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  • 2
    Uber Go Style Guide

    Uber Go Style Guide

    The Uber Go Style Guide

    ...These rules exist to keep the code base manageable while still allowing engineers to use Go language features productively. This guide was originally created by Prashant Varanasi and Simon Newton as a way to bring some colleagues up to speed with using Go. Over the years it has been amended based on feedback from others. This documents idiomatic conventions in Go code that we follow at Uber. A lot of these are general guidelines for Go, while others extend upon external resources.
    Downloads: 1 This Week
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  • 3

    cppcrypto

    C++ cryptographic library (modern hash functions, ciphers, KDFs)

    ...Hash functions: BLAKE, BLAKE2, Echo, Esch, Groestl, JH, Kupyna, MD5, SHA-1, SHA-2, SHA-3, SHAKE, Skein, SM3, Streebog, Whirlpool. Block ciphers: Anubis, Aria, Camellia, CAST-256, Kalyna, Kuznyechik, Mars, Serpent, Simon, SM4, Speck, Threefish, Twofish, and Rijndael (AES) with all block/key sizes. Stream ciphers: HC-128, HC-256, Salsa20, XSalsa20, ChaCha, XChaCha. Encryption modes: CBC, CTR. AEAD modes: Encrypt-then-MAC (EtM), GCM, OCB, ChaCha-Poly1305, Schwaemm. Streaming AEAD. MAC functions: HMAC, Poly1305. Key derivation functions: PBKDF2, scrypt, Argon2, HKDF. ...
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    Downloads: 7 This Week
    Last Update:
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  • 4
    OpenPose

    OpenPose

    Real-time multi-person keypoint detection library for body, face, etc.

    OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés Hidalgo and Yaadhav Raaj. OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who has helped OpenPose in any way. 15, 18 or 25-keypoint body/foot keypoint estimation, including 6 foot keypoints. ...
    Downloads: 14 This Week
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