rojinsafavi Goto Github PK
Name: Rojin Safavi
Type: User
Company: University of California, Santa Cruz
Bio: Data scientist at Grail. Ph.D. in Bioinformatics
Twitter: Rojinsafavi
Location: Berkeley
Name: Rojin Safavi
Type: User
Company: University of California, Santa Cruz
Bio: Data scientist at Grail. Ph.D. in Bioinformatics
Twitter: Rojinsafavi
Location: Berkeley
A wizard's guide to Adversarial Autoencoders
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
A comprehensive list of Deep Learning, Machine Learning and Artificial Intelligence tutorials - originally created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until atleast 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! π)
A curated list of awesome deep learning applications in the field of computational biology
https://www.kaggle.com/c/histopathologic-cancer-detection
Fine-tune CNN in Keras
A collaboratively written review paper on deep learning, genomics, and precision medicine
Replicating "Understanding disentangling in Ξ²-VAE"
Experiments for understanding disentanglement in VAE latent representations
Edinburgh Genomics MinION training 2016
Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.
Deep Learning for humans
Keras Generative Adversarial Networks
Experiments with Adversarial Autoencoders using Keras
Keras implementations of Generative Adversarial Networks.
Implemented binary classification using Logistic Regression without using any machine learning libraries
Full Notes of Andrew Ng's Coursera Machine Learning.
Analysis Pipeline to analyze Nanopore RNAseq data
Python Data Science Handbook: full text in Jupyter Notebooks
PyTorchλ‘ μμνλ λ₯λ¬λ μ λ¬Έ CAMP (2017.7~2017.12) κ°μμλ£
A scalable SCENIC workflow for single-cell gene regulatory network analysis
Analysis of single cell RNA-seq data course
Implementations of different VAE-based semi-supervised and generative models in PyTorch
HMM-HDP models for MinION signal alignments
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.