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30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

awesome-cheminformatics

A curated list of Cheminformatics libraries and software.

awesome-drug-pair-scoring

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

awesome-python-chemistry

A curated list of Python packages related to chemistry

biopandas

Working with molecular structures in pandas DataFrames

causal

notebooks on methods for causal inference

causalml

Uplift modeling and causal inference with machine learning algorithms

chemicalx

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

chempy

⚗ A package useful for chemistry written in Python

clinicaldatasources

Open or Easy Access Clinical Data Sources for Biomedical Research

covid19-age-related-causal-effects

Code and data for "Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects"

deepcausalpv-master

deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

dlc-3-tadpoles-8-labels

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

ds004627

OpenNeuro dataset - Characterization and Treatment of Adolescent Depression (CAT-D)

jc21092022

molpdf

Convert SMILES to PDF 2D Skeletal Diagrams and back again.

pipython

pka_lookup

Python script to lookup pKa values

practical_cheminformatics_posts

Practical Cheminformatics Blog Posts

practical_cheminformatics_tutorials

Practical Cheminformatics Tutorials

python

siteweb2

js

sitoueb

un site webb sur les petits chats

teachopencadd

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

video_crop_avi_to_mp4

working-with-causal-inference

Contains examples to illustrate the concepts of causal inference