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Source channel @githubtrending · Post #14900 · Jul 2

#c_lang#cryptography#decryption#encryption#openssl#ssl#tls OpenSSL is a free, open-source toolkit that helps secure data by using strong encryption methods like TLS, SSL, and QUIC protocols. It includes libraries for cryptography and a command-line tool to create keys, certificates, encrypt data, and test security. OpenSSL is widely trusted and used by many software and websites to protect sensitive information during transmission, ensuring privacy and data integrity. It works on many operating systems and is regularly updated by a global community. Using OpenSSL helps you build secure applications and protect communications from cyber threats easily and reliably[1][3][5]. https://github.com/openssl/openssl

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@phygitalcreative · Post #3136 · 06/26/2023, 01:04 AM

А вот подвезли официальный код DragGAN. Интересно насколько его работа отличается от неофициальной имплементации. В основе StyleGAN3 и StyleGAN-Human. Код #image2image

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PHYGITAL+CREATIVE

@phygitalcreative · Post #3158 · 06/29/2023, 01:26 PM

Mixed Image Editing Playground AI выкатили редактор изображений с большинством последних достижений в этой области. #image2image#imageediting

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@githubtrending · Post #14988 · 07/23/2025, 12:00 AM

#python#deep_learning#diffusion#flax#flux#hacktoberfest#image_generation#image2image#image2video#jax#latent_diffusion_models#pytorch#score_based_generative_modeling#stable_diffusion#stable_diffusion_diffusers#text2image#text2video#video2video The Hugging Face Diffusers library is a powerful and easy-to-use tool for generating images, audio, and 3D molecular structures using advanced diffusion models. It offers ready-to-use pretrained models and flexible components like pipelines, schedulers, and model building blocks, allowing you to quickly create or customize your own diffusion-based projects. Installation is simple via pip or conda, and you can generate high-quality outputs with just a few lines of code. This library benefits you by making cutting-edge AI generation accessible, customizable, and efficient, whether you want to run models or train your own[1][2][5]. https://github.com/huggingface/diffusers