Ammounaliza's repositories
antibody-in-pytorch
Machine learning models for antibody sequences in PyTorch
applied-computational-genomics
Applied Computational Genomics Course at UU: Spring 2020
cs-video-courses
List of Computer Science courses with video lectures.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
dlab-public
Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"
machine-learning-snippets
Python Machine Learning Snippets contains various machine learning examples as Jupyter notebooks with scikit-learn, statsmodel, numpy and other libraries.
matplotlib
matplotlib: plotting with Python
papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
Webscraping-ClinicalTrials.gov
Extracting Inclusion/Exclusion criteria and other information from clinicaltrials.gov
thunor-web-quickstart
Quickstart configuration for Thunor Web
amazon-sagemaker-protein-classification
Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from Hugging Face library, based on BERT model trained on large corpus of protein sequences.
Ammounaliza
Config files for my GitHub profile.
beam
Apache Beam is a unified programming model for Batch and Streaming
biotite
A comprehensive library for computational molecular biology
bnc
Data scraper for the Brave New Coin API
chembl_webresource_client
Official Python client for accessing ChEMBL API.
getting-started
Getting started with Docker
how-to-python
basic Python scripts for data visualization
picard
A set of command line tools (in Java) for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF.
pygments
Pygments is a generic syntax highlighter written in Python
pynanomapper
A Python client for the eNanoMapper API
simplydrug
Drug Discovery Data Analysis
StarGazer
StarGazer is a tool designed for rapidly assessing drug repositioning opportunities. It combines multi-source, multi-omics data with a novel target prioritization scoring system in an interactive Python-based Streamlit dashboard. StarGazer displays target prioritization scores for genes associated with 1844 phenotypic traits.
training-collection
Collection of bioinformatics training materials