DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Library of autoencoders for sequential data
Bioconvert is a collaborative project to facilitate the interconversion of life science data from one format to another.
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Unified biological sequence manipulation in Python
🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing
Package for finding difference between two input sequences with ability to detect sequence elements displacements.
Use Postgres' generate_series to create sequences with Django's ORM
PyPyNum is a multifunctional Python math lib. It includes modules for math, data analysis, array ops, crypto, physics, randomness, data prep, stats, solving eqns, image processing, interp, matrix calc, and high-precision math. Designed for scientific computing, data science, and machine learning, PyPyNum provides efficient and versatile tools.
LSTM Mobility Model implementation using Tensorflow
ProtFeat is protein feature extraction tool that utilizes POSSUM and iFeature.
Explore and analyze biological sequence data
This program dereplicates and/or filter nucleotide and/or protein database from a list of names or sequences (by exact match).
A toolkit to generate MR sequence diagrams
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