mshadloo Goto Github PK

algorithm

Codes of Cracking the Coding Interview, 6th Edition 189 Programming Questions and Solutions

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-neural-network-from-scratch

Deep neural network model on top of Tensorflow

gender-detection-with-decision-tree-from-scrach

In this repo, I implement a decision tree classifier from scratch using python and pandas. I use this decision tree to detect gender based on names. I use the first letter, first two letters, first three letters, last letter, last two letters, last three letters, etc. as features.

genderdetection

logistic-regression

Logistic regression with neural network mindset using numpy

mlp-logisticregression-decisiontree-from-scratch

mshadloo

Config files for my GitHub profile.

mshadloo.github.io

neural-machine-translation-with-attention

I implement encoder-decoder based seq2seq models with attention using Keras. The encoder can be a Bidirectional LSTM, a simple LSTM, or a GRU, and the decoder can be an LSTM or a GRU. I evaluate the models on an English-French dataset.

recommendation-system

I implement I-AutoRec (an autoencoder framework for collaborative filtering b) with Keras and tuned hyperparameters of this model using a validation set.

residualnetwork

Residual network with keras for CIFAR10

resnet_cifar10

Reproducing CIFAR10 experiment results from the original ResNet paper using Pytorch in IPython notebook.

resnet_cifar10_pytorch

In this repo, I implemented ResNet for CIFAR10 as described in the original paper with Pytorch

web-application-with-django-for-object-identification

In this repo, I use Django to create a web application and I use TensorFlow as the backend to do object identification. I deploy my project on AWS Lighsail.