Name: Pradeep Reddy Raamana
Type: User
Company: University of Pittsburgh
Bio: Neuroscientist trying to bridge the gap between clinic & computer science. Interests: Machine learning, Neuroimaging, Brain disorders, Informatics, Open science
Twitter: Raamana_
Location: Pittsburgh, PA
Blog: crossinvalidation.com
Pradeep Reddy Raamana's Projects
XNAT in Python
Multi-platform visual quality control of Freesurfer cerebellum segmentations
Collaborative online quality control of surface data
Implementation of Robust Fuzzy C-means algorithm as presented in Dzung Pham "Spatial Models for Fuzzy Clustering", CVIU, 2001.
A garden for scikit-learn compatible trees
Image Processing SciKit (Toolbox for SciPy)
scikit-learn: machine learning in Python
Sequential model-based optimization with a `scipy.optimize` interface
Pairwise Multiple Comparisons Post-hoc Tests
Scipy library main repository
Shōgun
A very simple, re-executable neuroimaging publication (code)
Python Library for Model Interpretation/Explanations
A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
Sequential Model-based Algorithm Configuration
Sparkle Online Event Platform
Statsmodels: statistical modeling and econometrics in Python
Scripts to generate TADPOLE datasets for TADPOLE Challenge: http://tadpole.grand-challenge.org
An open letter of gratitude to GitHub
Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
Simplified and community-driven man pages
A set of clean abstractions for authentication in Ember.js
A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
Tutorial on Bayesian tests for Machine Learning
VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Visual analysis and diagnostic tools to facilitate machine learning model selection.