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budapest-development

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simo-hue / ELTE-Principles-Of-AI-Course

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🤖 Course materials for Principles of AI at ELTE Budapest (EIT Digital MSc). Labs and exercises covering backtracking, graph search, minimax, deep learning, and NLP with TensorFlow, scikit-learn, and spaCy — 2026/2027 Fall.

artificial-intelligence backtracking a-star budapest minimax graph-search minimax-search backtracking-search minimax-algorithm elte artificial-intelligence-algorithms backtracking-algorithm a-star-algorithm graph-search-algorithms budapest-university elte-ik backtracking-algorithms graph-search-algorithm budapest-development elte-university
  • Updated Oct 12, 2026
  • Jupyter Notebook

simo-hue / ELTE-Deep-Neural-Network-Course

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🧠 Course materials for Deep Network Developments at ELTE Budapest (EIT Digital MSc). Labs, worksheets, and coding exercises covering MLP, CNN, RNN, Transformers, backpropagation, transfer learning, and NLP with PyTorch & NumPy — 2026/2027 Fall.

deep-learning numpy transformers pytorch transformer neural-networks deep-learning-algorithms budapest deep-learning-tutorial elte pytorch-tutorial numpy-library neural-networks-and-deep-learning neural-networks-from-scratch pytorch-implementation budapest-university elte-ik neural-networks-pytorch budapest-development elte-university
  • Updated Oct 12, 2026
  • Jupyter Notebook

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