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Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Notes from AMIA 2018 Informatics Summit
Deep Learning examples with Keras.
A curated list of awesome Deep Learning tutorials, projects and communities.
Teaching the fundamentals of bioinformatics and data science. BD2K Summer Workshop 2016
Materials for BI390: Bioinformatics Workshop
Bio-medical data analysis with Multi-layer Perceptron and Support Vector Machine
:microscope: Path to a free self-taught education in Bioinformatics!
Course materials for Computational Biology and Bioinformatics - BI462
A course covering Python fundamentals and tools for bioinformatics and scientific computing
A playground of scripts for biologists.
Chapterwise code available in the book
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Essential Cheat Sheets for deep learning and machine learning researchers
Bioinformatic material related to the course
An integrated web-based resource for mapping functional networks of long or circular forms of non-coding RNAs
circtools: a modular, python-based framework for circRNA-related tools that unifies several functionalities in single command line driven software.
Comparative genomics algorithm, the reciprocal smallest distance algorithm (RSD), to run within Amazon's Elastic Computing Cloud (EC2) - the project was developed at Wall Lab and Laboratory for Personalized Medicine (Tonellato Lab) at Center for Biomedical Informatics (CBMI) Harvard Medical School
Cloud Genomics lesson
Coda: a convolutional denoising algorithm for genome-wide ChIP-seq data
Bioinformatics containers
A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences
Repo for the Deep Learning Nanodegree Foundations program.
Attempting to make the Deep Learning Book easier to understand.
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Repository of all popular deep learning models from scratch
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.