xypan1232 Goto Github PK
Name: Xiaoyong Pan
Type: User
Blog: xypan1232.github.io
Name: Xiaoyong Pan
Type: User
Blog: xypan1232.github.io
Automatically exported from code.google.com/p/acfs
This is the repository for ADAGE (Analysis using Denoising Autoencoders for Gene Expression)
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
Applied Computational Genomics Course at UU: Spring 2017
Improving Convolutional Networks via Attention Transfer
A curated list of awesome deep learning applications in the field of computational biology
Recurrent Neural Network - A curated list of resources dedicated to RNN
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiency
Convolutional neural network analysis for predicting DNA sequence activity.
Bayesian Logistic Regression using Laplace approximations to the posterior.
BetaGo: AlphaGo for the masses, live on github.
Some experiments into explaining complex black box ensemble predictions.
for code created as part of http://studywolf.wordpress.com
Python implementations of the Boruta all-relevant feature selection method.
A tensorflow implementation of French-to-English machine translation using DeepMind's ByteNet .
A library for benchmarking vulnerability to adversarial examples
Clustering cells from single cell RNA seq assays
Easy benchmarking of all public open-source implementations of convnets
酷玩 Spark
CorEx or "Correlation Explanation" constructs a hierarchy of maximally informative representations of complex data.
I'm taking Andrew Ng's Machine Learning course on Coursera and doing the homework assigments... but, on my own in python because Octave? Really?
Code for the CRISPOR article, all data and code to create figures and analysis
A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
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.