Just Call Me Al's repositories
Deep-Learning-Fundamentals
This repository will contain all my work on the fundamentals of deep learning. These will usually involve basic implementations of deep learning methods using Python's Numpy library.
basic_latex
A Concise Introduction to Basic LaTeX inside Jupyter Notebooks
aipnd-project
Project code for AI Programming with Python ND Program
AlaaALatif.github.io
Repo for Github Web Page
bjorn
basic scripts for automated data handling of SARS-CoV-2 samples for release
ivar
iVar is a computational package that contains functions broadly useful for viral amplicon-based sequencing.
StreamHopperPublic
Public Version of our StreamHopper Repository
covid
This is a general repository containing all computational work related to the COVID-19 pandemic and the associated Sars-Cov-2 virus.
deep-learning-specialization-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
deep_GMM
This should contain the source code and data files for a predictive dynamic stochastic process model. It relies on feature representation of output using GMMs, and a deep network for predicting GMM parameters of unseen inputs.
fastai
The fast.ai deep learning library, lessons, and tutorials
fsdl-text-recognizer-project
Full Stack Deep Learning Bootcamp Project (Public)
Lasagne
Lightweight library to build and train neural networks in Theano
msds_spark_project
Spark team project using WESAD data for Stress Detection
nblite
Open and Run Notebooks on the Browser, powered by PyScript [mirror from https://gitlab.com/eduardobonet/nblite]
NLP-Project
RTE using LSTMs. Project For COL772: Natural Language Processing
rcnn
Recurrent & convolutional neural network modules
reasoning_attention
Unofficial implementation algorithms of attention models on SNLI dataset
sc_rna_seq
A repository containing usable code for processing and analysis of single-cell RNAseq data
scikit-learn
scikit-learn: machine learning in Python
selexim
A current working version of selexim - a software tool for simulating selex experiments.
SELEXim_v0.2
Numerical simulation of SELEX. In this updated version features are added to allow user to specify parameters through settings files. The user is also allowed to automatically post-process output results. Additionally, several bug fixes were performed.
tcrnet
A software toolkit for processing and analyzing T-Cell Receptor (TCR) data.
virus-ancestry
A solution to the coding assignment for Andersen's lab.