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Jupyter metapackage for installation, docs and chat
🏅 Collection of Kaggle Solutions and Ideas 🏅
A Java-based software for visualizing and translating the KEGG PATHWAY database. Conversion of KGML files into BioPAX, SBML, GraphML, GML, and various other formats.
Learning Kinetic Models from Time Series Proteomics and Metabolomics Data
A curated list of awesome knowledge graph tutorials, projects and communities.
Deep convolutional neural networks for biological motion analysis
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
"Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy
Oxford Deep NLP 2017 course
Lime: Explaining the predictions of any machine learning classifier
A comprehensive collection of recent papers on graph deep learning
A bioinformatics tool written in C++ to predict the lncRNA/DNA binding motifs and binding sites.
Implementation of different ML Algorithms from scratch, written in Python 3.x
Listing of papers about machine learning for proteins.
Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading
Machine Learning Workflow for Imaging Flow Cytometry (IFC)
MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
Cloud-based molecular simulations for everyone
DNA methylation studies of mammalian species
Codes and data for the paper entitled "Learning representations of molecules to predict intermolecular interactions by constructing a large-scale heterogeneous molecular association network"
Metabolic feature extraction, enrichment and visualization of transcriptomic data
Marker Gene Detection via Penalized Principal Component Analysis
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
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.