Published:
Using StableDiffusion for text2img background generation and MODNET/U2net model to seamlessly superimpose the isolated foreground using Alpha-matting and apply Nvidia’s FastPhotoStyle for an image stylization and smoothening
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Using GANS to generate images that are then used for deep fakes. Using Capsule networks instead of regular CNNs
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Built a seq2seq neural conversational model in PyTorch using attention with intention and a diversity promoting objective function to prevent irrelevant generic outputs’
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Created language agnostic word embeddings via artificial code-switching to share structure across languages for any NLP task when you have less labeled data.
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Generalized Successor Representations from Neuroscience within an end-to-end deep reinforcement learning framework, comparing its efficacy to DQN on two diverse environments (Mazebase and DOOM) given raw pixel observations.’