Ernest Awoonor-Williams's repositories
fpocket
fpocket is a very fast open source protein pocket detection algorithm based on Voronoi tessellation.
ML_OReilly-lecture
To show the usefulness of data engineering and ML pipelines.
Python-Machine-Learning-Second-Edition
Python Machine Learning - Second Edition, published by Packt
Cys-pKa-MD-calculations
Automate Cys pKa Molecular Dynamics Calculations
dsdojo-2022_ML-interpretability
Workshop for Data Science Dojo September 2022
jupyter-python_notebooks
Jupyter metapackage for installation, docs and chat
machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
espsim
Scoring of shape and ESP similarity with RDKit
Reactors
🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here.
cicag_klifs_workshop
CICAG workshop on KLIFS, OpenCADD-KLIFS, and KiSSim
teachopencadd
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
practical_cheminformatics_tutorials
Practical Cheminformatics Tutorials
machinelearning
machinelearning_beginners
DataVisualizationPythonWorkshop
Data-visualization_python
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
EFMC
Code to accompany "Practical Cheminformatics With Open Source Software"
CAC_ML_S2020
Machine Learning Workshop Summer 2020
Applied-Data-Science-with-Python-Specialization_UMich_FullCourse
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social net
300Days__MachineLearningDeepLearning
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
ML-For-Beginners
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
dmol-book
Deep learning for molecules and materials book
gmx_MMPBSA
gmx_MMPBSA is a new tool based on AMBER's MMPBSA.py aiming to perform end-state free energy calculations with GROMACS files.