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A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python
Implementation of learning a Gaussian mixture model using tensor decomposition.
Tensor methods in Python with TensorLy
Common statistical tests are linear models (or: how to teach stats)
Integration of gene expression data with TFA constraints
A comprehensive reference for all topics related to Natural Language Processing
Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)
Tools to Design or Visualize Architecture of Neural Network
Collection of bioinformatics training materials
neuron morphology processing tools
Truncation and motif based Pan-cancer analysis highlights novel tumor suppressing kinases. Summary: A unique computational pan-cancer analysis pinpoints novel tumor suppressing kinases, and highlights the power of functional genomics by defining the JNK pathway as tumor suppressive in gastric cancer. Andrew M. Hudson, Natalie L. Stephenson, Cynthia Li, Eleanor Trotter, Adam J. Fletcher, Gitta Katona, Patrycja Bieniasz-Krzywiec, Matthew Howell, Chris Wirth, Simon Furney, Crispin J. Miller, John Brognard
Teaching materials for cobrapy, cameo, escher and DD-DeCaF
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Transcriptional burst kinetics inference and analysis described in the article "Genomic encoding of transcriptional burst kinetics" by Anton J. M. Larsson, Per Johnsson, Michael Hagemann-Jensen, Leonard Hartmanis, Omid R. Faridani, Björn Reinius, Åsa Segerstolpe, Chloe M. Rivera, Bing Ren and Rickard Sandberg
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Graph based data integration with UMAP
Tools for processing UMI RNA-tag data
This repo contains unsupervised models including the Latent Dirichlet Allocation (LDA) model applied to a corpus of research papers and a clustering analysis applied to customer segmentation.
The official distribution of olcConsoleGameEngine, a tool used in javidx9's YouTube videos and projects
A platform to visualize the deep learning process.
*This is a companion to the companion for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
The Virtual Planet Simulator
This repository contains the implementation of a novel machine learning classifier trained on the Dataset of Congruent Inhibitors and Decoys (D-COID))
This is a list of my published works. For more details check my Google Scholar profile.
R code in workflow of chip-seq analysis
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.