adamacosta Goto Github PK

kube-homelab

lfs

Linux From Scratch

ml4trading_course_vm

Vagrantfile for building a minimal VM

mlnotes

How-tos for the use of various machine learning packages.

mltools

netasm-python

NetASM is a network assembler that takes high-level SDN languages (NetKAT, P4, etc.) and maps the primitives to device-specific directives in FPGAs and various chipsets.

nflgv

Graph project for UIUC Data Visualization course on Coursera.

omscs-6250-examples

NOT assignments or homework solutions

optdigits

plotly-shiny

Templates for embedding interactive plotly graphs in Shiny apps

pyrallel

Experimental parallel data analysis toolkit.

qlearner_tests

Test suite for Machine Learning for Trading Final Project

robotnav

ruin

Simple illustration of valuing a process with a period risk of ruin.

rvm_tests

Test Suite for the Advanced Operating Systems Recoverable Virtual Memory Project

shiny-examples

structurer

Advanced Data Structures for R

tanenbaum_networks

Lab exercises from Tanenbaum's Computer Networks 5th Ed

tensorflow-deepq

A deep Q learning demonstration using Google Tensorflow

udacity-dl

Tutorials and examples from TensorFlow and the Udacity Deep Learning course.

uw-assignment6

xgboost

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