AmjadHisham
Biomedical Engineer (PhD, MSc, BSc), with background in signal processing, machine learning, system identification and model-based control algorithms.
Jerusalem, Israel
Pinned Repositories
Analysis-Engineering-and-Modelling
A Repo of various End-to-End analysis in statistical approach, exploratory data analysis (EDA) , feature engineering and modelling.
applied-machine-learning
A step-by-step guide to get started with Applied Machine Learning
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
ASPMI
EE4-13 Adaptive Signal Processing and Machine Intelligence (2017-2018) Coursework
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-deepneuroimage
A curated list of awesome deep learning applications in the field of neurological image analysis
data-science-blogs
A curated list of data science blogs
AmjadHisham's Repositories
AmjadHisham/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
AmjadHisham/ASPMI
EE4-13 Adaptive Signal Processing and Machine Intelligence (2017-2018) Coursework
AmjadHisham/Analysis-Engineering-and-Modelling
A Repo of various End-to-End analysis in statistical approach, exploratory data analysis (EDA) , feature engineering and modelling.
AmjadHisham/applied-machine-learning
A step-by-step guide to get started with Applied Machine Learning
AmjadHisham/BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
AmjadHisham/blog
Contain all the stuff in my blog
AmjadHisham/computer-vision
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
AmjadHisham/DataLearn-ML-Intro-2019
The repository of the hands-on introduction to machine learning workshop of the DataLearn 2019 track at DataHack 2019.
AmjadHisham/Deep-Learning-Studio
AmjadHisham/Deep-Neural-Networks-HealthCare
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
AmjadHisham/deeplift
Public facing deeplift repo
AmjadHisham/DL-NanoDegreeProjects
This repository contains the 5 projects required to finish the Udacity NanoDegree in DeepLearning
AmjadHisham/DLIntro
AmjadHisham/error-detection
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
AmjadHisham/fastai
The fast.ai deep learning library, lessons, and tutorials
AmjadHisham/GitHub_Test
This is my github test sample
AmjadHisham/Kalman
Some Python Implementations of the Kalman Filter
AmjadHisham/keras-text-processing
Sample Keras code for text processing
AmjadHisham/kernelml
AmjadHisham/livelossplot
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
AmjadHisham/ml-tool-wear
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"
AmjadHisham/neural-networks
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
AmjadHisham/NLP_by_Example
Code for "NLP by Example" book
AmjadHisham/qtrader
Reinforcement Learning for Portfolio Management
AmjadHisham/RK-Fun
Fun Stuff
AmjadHisham/Stock-Price-Predictor
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
AmjadHisham/stockPredictor
Predict stock movement with Machine Learning and Deep Learning algorithms
AmjadHisham/StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
AmjadHisham/Test-stock-prediction-algorithms
Use deep learning, genetic programming and other methods to predict stock and market movements
AmjadHisham/TestLRC