seifhelal/Machine-Learning-CIFAR-10-Classification

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Updated about 6 years ago

seifhelal/Machine-Learning-CIFAR-10-Classification

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CIFAR-10 Dataset Classification using different Machine Learning Techniques.

Cache-Simulator

A cache simulator, using the C++ language, to simulate a direct-mapped, fully associative and set-associative cache. It has a set of memory reference generators to generate different sequences of references.

CMOS-logic-gate-SPICE-Generator

C++ code to generate the CMOS logic gate SPICE description with sizing information.

RISCV-Simulator-Disassembler

A program that translates programs written in assembly language into machine code and vice versa.

Machine-Learning-Stock-Market-Prediction-Using-RNN

Recurrent neural network that can best predict the closing value of the S&P 500 stock market index value in the 5 days in the future.

Jupyter Notebook