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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Minimal examples of data structures and algorithms in Python
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
Episcanpy: Epigenomics Single Cell Analysis in Python
Python implementation of Gillespie's algorithm
Imputation of single cell RNA-sequencing data with autoencoder
MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
Scripts to reproduce analysis of Schmiedel et al. "Empirical noise-mean fitness landscapes and the evolution of gene expression" bioRxiv, 2018
OpenMM is a toolkit for molecular simulation using high performance GPU code.
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
Matlab code for machine learning algorithms in book PRML
All Algorithms implemented in Python
Single-Cell Analysis in Python. Scales to >1M cells.
Single cell perturbation prediction
single-cell Nucleosome Methylation Transcription
scNMT-seq gastrulation
Deep learning methods for the analysis of single-cell data
A collection of scripts and tools for loading, processing, and handling single cell data.
Deep generative modeling for single-cell transcriptomics
STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Protein function prediction using a variational autoencoder
Variational autoencoder implementation using Tensorflow and Python
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Variational autoencoder for single cell RNA-seq datasets
Variational Autoencoder for Dimensionality Reduction of Time-Series
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.