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32-bit-pipelined-mips-processor-implemented-using-verilog-with-booth-multiplication-algorithm

32-bit pipelined MIPS CPU using Verilog with booth multiplication algorithm (faster multiplication in hardware). Xilinx Sesign Suite

ai-project--logistic-regression-from-scratch

I implemented logistic regression model from scratch with python and numpy. I used it to train a model for predicting diabetes. The dataset of diabetes is a csv file. I created a GUI as well(with tkinter) as well.

character-level-language-model

Character level language model create dinosaur names Coursera sequence models

covid-detection-using-x-ray-images

disk-scheduling-algorithms-using-csv-files

Look, C-Scan, Scan , C-Look disk scheduling algorithms for OS implemented using python

dnn-from-scratch-coursera-and-image-classification

deep neural networks implementation from scratch in coursera.com

graph-theory-project-optimization-find-a-short-walk-that-traverses-all-nodes-in-a-graph-

find a short walk that traverses all nodes in a graph

image-classification-with-tensorflow-and-cnn

Tensorflow and convolutional neural networks

improvise-a-jazz-solo-with-an-lstm-network

Improvise a Jazz Solo with an LSTM Network

instagram-clone

master-slave-atmega32-microcontrollers-using-spi-protocol-and-fast-pwa-tempreture-controlling-system

I used two Atmega32 AVR microcontrollers with SPI protocol and Master/Slave connection. Other elements: LM35 temperature sensor and a LCD and cooler Motors and heater and blinking warning LED. Using analog to digital converter and analog comparator. Using C programming to program the microcontrollers and Proteus. Compares the temperatures and shows it on a 16*2 alphanumeric LCD and depending on the temperatures either the cooler or the heater or the Red warning light.

modify-word-embedding

modify word embeddings to reduce their gender bias

neural-machine-translation-to-translate-human-readable-dates

Neural Machine Translation (NMT) model to translate human-readable dates ("25th of June, 2009") into machine-readable dates ("2009-06-25"). using an attention model. sequence model Coursera assignment

refined-d-ary-minheap-for-dijkstra-s-algorithm-in-a-weighted-directed-graph

Refined D-ary minheap in which the children of each node are stored in a built in binary heap so that finding the minimum a node's children is faster. The binary min heap uses the array of D-ary minheap and its within it and does not use separate array. .Implemented for Dijkstra's algorithm for shortest paths in a weighted directed graph.

rnn-lstm

Building your Recurrent Neural Network - Step by Step coursera

sinasoltani123

Config files for my GitHub profile.

transformers-architecture-with-tensorflow

implement the components of the transformers model in TensorFlow 2.4. sequence model coursera assignment

trigger-word-detection

implement an algorithm for trigger word detection (sometimes also called keyword detection, or wake word detection). it detects you saying "activate."