sbarman-mi9
Data Scientist | WPI Grad | Focused on Machine Learning, Analytics, NLP, Healthcare
Stratus MeridianCA
Pinned Repositories
Apache-Spark-Tutorial
Tutorial on Apache Spark in Python (PySpark) and its integration with ElasticSearch
CS573FinalViz
Final Project for CS573: Visualizing vehicle crash incidents in Massachusetts
ggtech
ggplot2 tech themes, scales, and geoms
mli-resources
Machine Learning Interpretability Resources
PageRank_in_Python
Determine important users in a Friend graph by applying PageRank Algorithm. Uses Yelp dataset.
probability
Probabilistic reasoning and statistical analysis in TensorFlow
toolbox
Curated list of libraries for a faster machine learning workflow
sbarman-mi9's Repositories
sbarman-mi9/mli-resources
Machine Learning Interpretability Resources
sbarman-mi9/2048-deep-reinforcement-learning
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
sbarman-mi9/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
sbarman-mi9/automated-feature-engineering
Automated feature engineering in Python with feature tools
sbarman-mi9/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
sbarman-mi9/bootstrapped
Generate bootstrapped confidence intervals for A/B testing in Python.
sbarman-mi9/build-your-own-x
🤓 Build your own (insert technology here)
sbarman-mi9/CLR
sbarman-mi9/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
sbarman-mi9/Deep-Learning
sbarman-mi9/devnet-3627
DevNet 3627
sbarman-mi9/docker-gpu
Dockerfile for deep learning on GPUs
sbarman-mi9/fastai
The fast.ai deep learning library, lessons, and tutorials
sbarman-mi9/github-pages-with-jekyll
sbarman-mi9/gitignore
A collection of useful .gitignore templates
sbarman-mi9/h2o-cloud
H2O Cloud code.
sbarman-mi9/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
sbarman-mi9/ipython
ipython notebooks for machine learning
sbarman-mi9/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
sbarman-mi9/Keras-GAN
Keras implementations of Generative Adversarial Networks.
sbarman-mi9/Meetups-Data-AI-DFW
Content for Meetups for DATA & AI - Microsoft DFW
sbarman-mi9/mlcourse_open
OpenDataScience Machine Learning course. Both in English and Russian
sbarman-mi9/mssql-cli
A command-line client for SQL Server with auto-completion and syntax highlighting
sbarman-mi9/oreilly
sbarman-mi9/papermill
📚 Parameterize, execute, and analyze notebooks
sbarman-mi9/Repo-2018
Deep Learning Summer School files + Tensorflow + AWS EC2 Setup + OpenCV cascade training + YOLO + COCO + CycleGAN + Raspberry Pi3 IoT + AWS IoT
sbarman-mi9/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
sbarman-mi9/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
sbarman-mi9/Tensorflow-Project-Template
A best practice for tensorflow project template architecture.
sbarman-mi9/youtube-8m
Starter code for working with the YouTube-8M dataset.