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program-generator

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umuttt5738 / neurosymbolic-vqa-program-generator

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🧠 Generate executable programs from natural language questions using a neuroscience-inspired framework for advanced visual reasoning.

reinforcement-learning university-project pytorch transformer lstm supervised-learning vqa course-project policy-gradient seq2seq reinforce program-generator clevr visual-question-answering neurosymbolic in-context-learning large-language-models neurosymbolic-ai
  • Updated Dec 1, 2025
  • Python

msmrexe / neurosymbolic-vqa-program-generator

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A comprehensive implementation of a Neurosymbolic framework for Visual Question Answering (VQA) on the CLEVR dataset. This project translates natural language questions into symbolic programs using three different learning strategies: Supervised (LSTM & Transformer), Reinforcement Learning (REINFORCE), and In-Context Learning (LLM).

reinforcement-learning university-project pytorch transformer lstm supervised-learning vqa course-project policy-gradient seq2seq reinforce program-generator clevr visual-reasoning visual-question-answering neurosymbolic system-2 in-context-learning large-language-models neurosymbolic-ai
  • Updated Nov 3, 2025
  • Python

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