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Examples of using deep learning in Bioinformatics
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
Notebooks from our series of blogpost about Deep Reinforcement Learning
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations
This code contains the neural network implementation from the nature communication manuscript NCOMMS-16-25447A.
Must-read papers on deep learning to hash (DeepHash)
Data and demo codes for Shen, Horikawa, Majima, and Kamitani, "Deep image reconstruction from human brain activity".
Deep learning driven jazz generation using Keras & Theano!
Deep Learning (Python, C, C++, Java, Scala, Go)
A list of deep learning implementations in biology
For anyone who are eager to applying deep learning in bioinformatics!
A collection of various deep learning architectures, models, and tips
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Deep Learning Examples
Example code from the book "Deep Learning for the Life Sciences"
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content microscopy data with deep learning"
DeepMetabolism is a deep learning algorithm to predict phenotype from genome sequencing
DeepNovo workflow of neoantigen discovery by personalized de novo sequencing.
Classification of Lung cancer slide images using deep-learning
A replica of the AlphaZero methodology for deep reinforcement learning in Python
A generative latent variable model for biological sequence families.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Boosting Docking-Based Virtual Screening with Deep Learning
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.