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Slides, code, and examples for the Low-dimensional Representation of Biological Sequence Data tutorial at the ACM-BCB 2019 conference
Chainer implementation of adversarial autoencoder (AAE)
The classical papers and codes about generative adversarial nets
A short analysis of Oxford Nanopore consensus accuracy for bacterial genome assemblies
A comparison of different Oxford Nanopore basecallers
A Python implementation of global optimization with gaussian processes.
TensorFlow code and pre-trained models for BERT
BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-Expression Analysis
Barnes-Hut t-SNE
Code accompanying blog posts about doc2vec
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
CapsNet for Protein Post-translational Modification site prediction.
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
A basecaller for Oxford Nanopore Technologies' sequencers
A systematic computational approach for de novo circular RNA identification
A ChIP-Seq peak calling algorithm using convolution neural network
Using Keras and Deep Deterministic Policy Gradient to play TORCS
Keras implementation for Deep Embedding Clustering (DEC)
Keras code and weights files for popular deep learning models.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
DeepDom is an ab-initio method for protein domain boundary prediction
DenseNet Implementation in Keras with ImageNet Pretrained Models
A novel Deep-learning Framework with Multi-head Self-attention for Multi-label mRNA Subcellular Localization Prediction and Analyses
docker intro for digbio
An open source python library for scalable Bayesian optimisation.
Evolutionary velocity with protein language models
Facebook AI Research Sequence-to-Sequence 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.