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We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

Python 30.58% HTML 69.42%

machine-learning deep-learning python tensrorflow generative-adversarial-network gan mscoco-dataset cubs batch-normalization skip-thought-vectors

gan's Introduction

Hi there 👋

🔭 I’m currently working at Incubit, Japan.
🌱 I’m currently learning too many things
👯 I’m looking to collaborate on new Machine learning / Reinforcement learning ideas
🤔 I’m looking for help with MLOps
📫 How to reach me: [email protected]
⚡ Mentorship: I am in top 3% of mentors in Mentorcruise

gan's People

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pnps7076 soumya-dutta akshaykhadse code-ishwar iomrla amrakibulhasan macguyversmusic joyccino guru-180188 siambhuiyan

gan's Issues

Pretrained model missing

Dear Ayan,

Could you share the instructions/pre-trained model link here?

Thanks

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