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A curated list of amazingly awesome database libraries, resources.
A curated list of resources for Learning with Noisy Labels
MolMap: An Efficient Convolutional Neural Network Based Molecular Deep Learning Tool
generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions.
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
CapsNet for Protein Post-translational Modification site prediction.
Automatically exported from code.google.com/p/cdhit
The standard package for machine learning with label errors, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Compute codon autocorrelation
Toolkit to analyze codon usage bias
Score an Affinity Purification Mass Spectrometry Proteomics Experiment for Interactor Confidence
Interim data for the Darwin Tree of Life Project
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Interactive multivariate data analysis in R implemented in shiny.
Attention mechanism Implementation for Keras.
Uncovering phosphorylation–based specificities through functional interaction networks
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
metabolome
MMseqs2: ultra fast and sensitive search and clustering suite
mRMR (minimum-Redundancy-Maximum-Relevance) for feature selection.
This repository contains the stand-alone tool for MusiteDeep server
Library for mass spectrometry projects
Data visualisation web components for the life sciences.
The BioPAX Object Model, API and utilities implemented in Java
Create beautiful diagrams just by typing mathematical notation in plain text.
Multi-task and masked language model-based protein sequence embedding models.
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.