shivasj Goto Github PK

01-cscie71-setup

Set up your development environment

2015

Public material for CS109

2015-cs171-homework

Homework submissions for Harvard's CS171: Visualization

ai-blocks

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

angular

angular2-jumpstart

Angular 2 and TypeScript JumpStart example

atm

Auto Tune Models - A multi-user, multi-data system for model selection and tuning.

augmix_tf2

TF2.0 port for Augmix paper

azham

ആഴം (azham)

basiccoin

The smallest currency I can make

bci_lab_i

BCI LAB I : EEG Analysis

bidaf-tensorflow

Bidirectional Attention Flow

bilinear-cnn-tensorflow2.4-implementation

Implementation Bilinear CNN in tensorflow V2.4.

bracketology

:basketball: R data package featuring 2.8 million brackets from the 2015 NCAA Men's Basketball Tournament

classp

CS109 Class Project Repository.

computefest2017-pythonml

Python and Machine Learning Workshop for Computefest 2017

cs171-metro-boston-food-exploration

Final Project for CS171. Spring Term 2015.

csci-e81-final-project

cscie-71-project

Near Vision: Communicate Best Practices for Common AI Problems

d3-book

Sample code files to accompany the book “Interactive Data Visualization for the Web”

d3-slider

D3.js slider

data-labeling

Data Labeling Demo

data-science-vm

A Big Data Analytics VM for doing Data Science. It provides a huge kickstart to those working with the Big Data Analytics side of Data Science. Essentially, this project automates the creation of the Big Data Scientist's toolbox on a virtual machine (VM). In a few minutes one can begin working with a fully configured data science lab instead of performing the complex installations and configuration required for a functioning development environment. The Data Scientist's VM includes R, Git, Python, Cloudera, Hadoop, YARN, MRv2, Mahout, MongoDB, Spark, Neo4j, etc. pre-installed. The Data Scientist's Toolbox VM is automatically built for you on a single CentOS VM using the Vagrant DevOps tool with Chef and shell-scripts for VMware Fusion.

data-versioning

Data Versioning Demo

datasciencecoursera

Demo repo for Coursera "The Data Scientist’s Toolbox" Assignment

datasciencecoursera-getting-cleaning

Getting and Cleaning Data - Course Assigment

dataset-store

Collection of datasets

datasharing

The Leek group guide to data sharing

deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

demandplanai

DemandPlanAI