luoyunfan-jason Goto Github PK
Name: Yunfan Luo
Type: User
Bio: WHU student 2022
Location: wuhan,China
Name: Yunfan Luo
Type: User
Bio: WHU student 2022
Location: wuhan,China
Model interpretability and understanding for PyTorch
ENCODE ChIP-seq pipeline
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
The official implementation of DNABERT-2.
Elucidating the Utility of Genomic Elements with Neural Nets
Public facing deeplift repo
Software for the visualization of sequence-function relationships
Pangolin is a deep-learning method for predicting splice site strengths.
A deep learning-based tool to identify splice variants
Interpreting sequence-to-function machine learning 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.