PHYGITAL+CREATIVE
@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
Hashtags
TGTGInsighttelegram intelligenceLIVE / telegram public index
TGINSIGHT SIMILAR POSTS
Find similar content
Source channel @githubtrending · Post #14739 · May 23
#c_lang#ctp#ctpapi#futures#options#quant#simnow#stock#tora#trader#tts#xtp openctp is a powerful open-source trading platform compatible with many Chinese securities and futures trading systems, offering both real and simulated trading environments for futures, options, stocks, funds, and bonds across domestic and global markets like A-shares, Hong Kong, and US stocks. It provides easy access to CTPAPI through Python and other programming languages, plus user-friendly trading clients with graphical and command-line interfaces. You can register free simulation accounts instantly via WeChat, enabling you to practice and test trading strategies in real-time or 24/7 environments. It also offers training, development support, and a monitoring platform for multiple trading systems, helping you learn, develop, and trade efficiently with low costs and broad market access. This benefits you by giving a flexible, comprehensive, and cost-effective way to develop, test, and execute trading strategies across many markets with strong community and technical support. https://github.com/openctp/openctp
Results
3 similar posts found
Search: #image2image
当前筛选 #image2image清除筛选
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
Hashtags
GitHub Trends
@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