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1. dive-into-deep-learning dive-into-deep-learning Public

   These are my exercise solutions to some of the exercises from Dive into Deep Learning book. They're in the pytorch folder.

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2. transformer-from-scratch transformer-from-scratch Public

   Transformer implementation from scratch (in PyTorch)

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3. advanced_programming_and_algorithms_in_c_and_cplusplus advanced_programming_and_algorithms_in_c_and_cplusplus Public

   Exercises from a book titled Advanced programming and algorithms in C and C++ (Napredno programiranje i algoritmi u C -u i C++ -u)

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4. handson-ml2 handson-ml2 Public

   Forked from ageron/handson-ml2

   A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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5. programming_principles_and_practice programming_principles_and_practice Public

   The code I wrote pertaining to the book "Programming: Principles and Practice Using C++" by Bjarne Stroustrup

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6. think_like_a_programmer think_like_a_programmer Public

   The code I wrote pertaining to the book "Think Like a Programmer" by Anton V. Spraul.

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