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comand-line

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I built a Python application that trained an image classifier on an Oxford flower dataset to recognize different species of flowers, and then predicted new flower images using the trained model. This project is a starting point in the world of deep learning and neural networks, implemented here using Keras, TensorFlow and transfer learning techn…

  • Updated Jul 29, 2021
  • HTML

The project is a key-value store. The project uses data structures such as hash tables, self-balancing binary search trees, and B+ trees. The code is written in C++ with CMake as a build tool. It supports sanitization, testing, coverage, formatting, and static analysis.

  • Updated May 9, 2023
  • C++

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