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Name: John Carrigan
Type: User
Bio: I am a data scientist who enjoys extracting insights from data, modeling complex phenomena, and exchanging my knowledge and experience with others.
Location: Denver, Co
Name: John Carrigan
Type: User
Bio: I am a data scientist who enjoys extracting insights from data, modeling complex phenomena, and exchanging my knowledge and experience with others.
Location: Denver, Co
Documentation and samples for ArcGIS API for Python
A collection of various awesome lists for hackers, pentesters and security researchers
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
Software sets up and runs an genome sequencing analysis workflow using AWS Batch and AWS Step Functions.
AWS Glue code samples
End-to-end recipes for pre-training and fine-tuning BERT using Azure Machine Learning service
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
AWS SDK for Python
Bayesian optimization in PyTorch
Machine learning algorithm for predicting Daily Fantasy Sports points for NBA players with lineup optimization model for NYCDSA Project 4
Codewars Python solutions
CodeWars solutions in Python
This is the code for constructing a portfolio of lineups for DraftKings baseball contests with a top heavy payoff structure. This code is based on the paper Picking Winners Using Integer Programming by David Hunter, Juan Pablo Vielma, and Tauhid Zaman (https://arxiv.org/abs/1604.01455).
Utilities for Dask and CUDA interactions
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
This repository hosts sample pipelines
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Repository of sample Databricks notebooks
Deep Learning Models optimized for AWS
Code repository for Deep Learning with Keras published by Packt
Hands-on Deep Reinforcement Learning, published by Packt
Lineup optimization for daily fantasy sports
Code to play Daily Fantasy Sports for the MLB on DraftKings
Files used for making predictions for baseball daily fantasy sports.
Optimizers for Daily Fantasy Sports written in python and based on Picking Winners paper.
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.