rhondene Goto Github PK
Name: Rhondene Wint
Type: User
Bio: Computational+ Molecular Biology, Data Science.
Location: California
Name: Rhondene Wint
Type: User
Bio: Computational+ Molecular Biology, Data Science.
Location: California
Carpentry workshop for GROW
I co-organized this 1-week hands-on training workshop to teach learners the fundamentals of programming and data science that are essential to get started on data-driven research projects.
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
Python implementation of biosequence analysis algorithms I learnt in the amazing online course Algorithms for DNA Sequencing by John's Hopkin via Coursera
Python3 implementation of commonly used codon usage statistics
Neural network based tool for predicting expression ('high' or 'low') directly from protein-coding sequences.
projects using galaxy, python, linux command line to analyze sequencing data
Tutorials on data science/machine learning using Python with a life-science perspective. When I started learning programming and machine learning, most of the examples were from other fields like IT or business, so sometimes I found it difficult to apply those skills to biological problems. I help make data science and machine learning more relatable and practical to beginners, especially in my major biology by sharing the skills and knowledge I have acquired in data science and computation. I will do my best to use biological datasets as examples.
Python3 code for popular data structures and algorithms. Helpful for coding interviews
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Repository of my programming assignments from the Deep Learning.ai specialization course taught by the Dr. Andrew Ng. Python with Keras
A template for really easy blogging with GitHub Pages
an assortment of code I wrote for various genomics related tasks
A robot powered training repository :robot:
data carpentry example
Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.
A collection of scripts.
Popular Supervised/Unsupervised and ANN in Python. Updating....
Matlab/Octave implementation of supervised and unsupervised machine learning algorithms I learnt from the popular online course Machine Learning taught by Dr. Andrew Ng.
Stores scripts I commonly use during bioinformatic analysis so I don't have to dig through old code. I work primarily with Drosophila (Flybase) annotation files
DE analysis module for Week3
OpenRefine is a free, open source power tool for working with messy data and improving it
Python code for analysis of the 1000Genomes dataset in fulfillment of my graduate level Biostatistics course.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Probabilistic programming based on Bayesian Inference Python (PyMC3). One of my computational learning goals is probablistic machine learning.
Software Carpentry introduction to Python for novices using inflammation data.
Notebooks curating my journey of learning pytorch
my personal academic website
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.