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Name: Marie-Elyse Lafaille-Magnan
Type: User
Bio: Postdoc experienced in data analysis using SPSS, Matlab, excel, R, Python, fMRI task analysis using SPM, biochem, dmpk, and bench experience
Location: Montreal
Name: Marie-Elyse Lafaille-Magnan
Type: User
Bio: Postdoc experienced in data analysis using SPSS, Matlab, excel, R, Python, fMRI task analysis using SPM, biochem, dmpk, and bench experience
Location: Montreal
check for passive words, weasel words, duplicate words, typographical errors and words strunk & white don't like
Code for "Unsupervised State Representation Learning in Atari"
A curated list of awesome deep learning applications in the field of computational biology
Convolutional neural network analysis for predicting DNA sequence activity.
catch-22: CAnonical Time-series CHaracteristics
Conditional generative adversarial network for gene expression inference
Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts"
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Conditional GAN for Tabular Data
Simple CLI interface for deploying CTGAN on a server
Deep learning for gene expression inference
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Attempting to make the Deep Learning Book easier to understand.
Deep learning with cats (^._.^)
This project is trained on private MRI data, where scans are marked QC_PASS or QC_FAIL. Several architectures of neural networks are explored to make automatic predictions for new images.
A list of deep learning implementations in biology
Diet networks in TensorFlow
Deep Learning Model to replicate Diet Network results-- Genomic Data and Ancestry Prediction
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Fréchet ChemNet Distance: A quality measure for generative models for molecules
Google Cloud tutorial and setup
Towards Gene Expression Convolutions using Gene Interaction Graphs
Machine learning-based approach for the inference of gene regulatory networks from expression data.
Tool for genome wide association studies with Bayesian inference and statistical learning
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
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.