MrML1986's Stars
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
lmmentel/awesome-python-chemistry
A curated list of Python packages related to chemistry
WillKoehrsen/machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Mariewelt/OpenChem
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
chainer/chainer-chemistry
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
mcs07/ChemDataExtractor
Automatically extract chemical information from scientific documents
EBjerrum/SMILES-enumeration
SMILES enumeration for QSAR modelling using LSTM recurrent neural networks
knime/knime-sdk-setup
KNIME Analytics Platform - SDK Setup
Autodesk/molecular-design-toolkit
Notebook-integrated tools for molecular simulation and visualization
mcs07/MolVS
Molecule Validation and Standardization
mcs07/CIRpy
Python wrapper for the NCI Chemical Identifier Resolver (CIR)
mcs07/ChemSpiPy
Python wrapper for the ChemSpider API
rhnvrm/labeled-tweet-generator
Search for tweets and download the data labeled with its polarity in CSV format
gadsbyfly/PyBioMed
machine learning, molecular descriptor
connorcoley/scscore
tmacdou4/2019-nCov
Efforts towards proposing a potentially highly active molecule against a target protein of the 2019 Novel Coronavirus
mrdbourke/python-list-comprehensions-tutorial
This is the code to go along with the Python list comprehensions video by Daniel Bourke on YouTube.
girke-lab/chemminetools
ChemMine Tools: open source web framework for small molecule analysis
mcs07/mongodb-chemistry
Ideas for chemical similarity searches in MongoDB.
LiamWilbraham/pychemlp
Easy-to-use python module for training multi-layer perceptrons (neural networks) from molecular SMILES and known associated properties
LiamWilbraham/smilescombine
Combinatorially combine functional groups with molecular templates
pashupati98/PCCLP
Developing a machine learning model to predict critical chain length of a desired polymer corresponding to its saturated solubility parameter.
abhik1368/CheminfoR
Generate Classfication RF,NB and SVM Models from SMILES data