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A collection of Jupyter notebooks authored by the UCSD Center for Computational Biology & Bioinformatics (http://compbio.ucsd.edu). These include methods on utilizing cloud computing resources and analysis of data from next-generation sequencing, systems biology, and microbiome.
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
🧬 A JupyterLab extension for annotating data with Prodigy
Autoencoder network for learning a continuous representation of molecular structures.
Keras package for region-based convolutional neural networks (RCNNs)
A graph-based deep learning framework for life science
Markov state modeling for kinase conformations
a flask application to predict kinase inhibition across 342 human kinases using multitask deep learning
Collection of scripts / notebooks to reliably select datasets
Structure-informed machine learning for kinase modeling
Subpocket-based fingerprint for kinase pocket comparison
Kinome-wide structural pocket similarity
Docker containers for bioinformatics with a small footprint
Kronecker Regularized Least Squares with multiple kernels
Linear Assignmment Problem solver using Jonker-Volgenant algorithm - Python 3 native module.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Lamarckian Evolutionary Algorithm for de novo Drug Design
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
resources for learning bioinformatics
Python package to analyse and prepare libraries of chemical compounds for molecular simulations.
Deep generative models for structure-based drug discovery
Prepare and fragmentate ligands for matched-molecular pair analysis
LigandNet, a tool which combines different machine learning models into one platform for the prediction of the state of the ligands either actives or inactives for a particular proteins.
LigTMap currently supports prediction for 17 protein target classes that include 6000+ protein targets.
LillyMol Public Code
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.