advent-of-code-21

My solutions to the Advent of code 2021 problem set, solved in Python.

amshrbo

amshrbo.github.io

For hosting only the generated files by hugo and deployment

autoencoders-applications

Tackling some possible applications for AutoEncoders

blog

Hosting hugo files and for assets it hosted in the other repo

cloudbuild-slack-notifier

dcgans-documented-implementation

A documented implementation for the paper: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

deploying-nodejs-stack

Deploying a server and client created using nodejs and socket programming, then integrating the client with mongodb replicaset cluster to save the streamed data from the server.

deploying_springboot_stack

Deploying a springboot and mysql stack, using docker, docker-compose for dev env, using kuberntes for production env, the whole deployment tested in minikube

few-shot-learning-explained

An Introduction and exploration of Meta learning architecture specifically few-shot-learning. Our goal is to be able to classify new objects never seen it in the training data with very few examples.

gradually-building-gans

Gradually building generative adversarial networks

hugo-papermod

A fast, clean, responsive Hugo theme.

keras-io

Keras documentation, hosted live at keras.io

low-level-vision-with-cpp

Covering image processing and computer vision concepts with small c++ programs ranging from reading an image, histogram manipulation to object tracking.

machine-learning-and-deep-learning-models

In this repository, I'm going to include some well documented projects, that I've implemented during my learning and I will keep it updated

nsfw-detection

Nudity, violence and drugs detection using nudeNet for nudity, for violence and drugs detection I hyper-tuned mobilenet model on my own collected dataset, the final results is a python flask API that takes an image or a set of images, will return a score on how much it's suitable for work.

openai-gym-examples

opencv

Open Source Computer Vision Library

problem-solving

A curated list of sovled problems in which I document my own solution and the best solution that I found online, what is the differences between them, which one is better, and also describing, what lessons to learn from each problem.

realtime-face-emotion-recognition

Real time emotion recognition, using OpenCV and haarcascade algorithm for face detection from the video source, then I've done emotion recognition using a model trained on FER-2013 dataset with Tensorflow. and also as an other solution, I used DeepFace package for emotion recognition as a prefabricated solution.

simulating-physics-using-pymunk

A set of projects that will use python, pygame, and pymunk for doing physics simulation FOR FUN.

videodetector