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University of Minnesota, Twin Cities
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cmu10708-pgm
cmu10708-pgm PublicSolutions to CMU 10-708 Probabilistic Graphical Models homeworks — exact & approximate inference (variable elimination, belief propagation, MCMC, variational), parameter learning, and structured mo…
Python
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cmu11711-anlp
cmu11711-anlp PublicSolutions to CMU 11-711 Advanced NLP assignments — including a BERT implemented and fine-tuned from scratch (minBERT) for sentiment/paraphrase/similarity — with measured results
Python
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cmu11785-idl
cmu11785-idl PublicSolutions to CMU 11-785 Introduction to Deep Learning — a from-scratch autograd library (mytorch: MLP, CNN, RNN/GRU + CTC, attention) plus the Kaggle deep-learning challenges — with the official au…
Python
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aics-labs
aics-labs PublicSolutions to the 智能计算系统 (AI Computing Systems) course labs — operators, a small deep-learning framework, and an image style-transfer application built up from scratch
Python
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