jnarhan Goto Github PK

advanced_r

Repo to refresh R coding

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

breast_cancer

Repository for CUNY Capstone Project on Breast Cancer detection

cicd-pipeline-train-schedule-git

Train Schedule sample app for Git exercises

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs231n.github.io

Public facing notes page

ctcdecoder

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

data

Data and code behind the stories and interactives at FiveThirtyEight

dataiku-contrib

Public repository for DSS plugins

datascilinks

The Open Source Data Science Masters

ddsmutility

This is a utility written by me to greatly simplify downloading, converting, viewing and extracting annotations from the Digital Database for Screening Mammography (DDSM) database available here: http://marathon.csee.usf.edu/Mammography/Database.html

deep_learning_ex

Deep learning examples

deeplift

Public facing deeplift repo

dku-git-branching-demo

dss-plugin-timeseries-forecast

Dataiku DSS plugin to forecast multivariate time series from year to minute frequency with Deep Learning and statistical models

facial_expressions

A set of images for classifying facial expressions

gensim

Topic Modelling for Humans

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hdx-python-api

HDX Python API

is606fall2015

IS606 - Statistics and Probability for Data Analysis - CUNY

lectures

Oxford Deep NLP 2017 course

machinelearning

pa-ocha-bucky

Since March 2020, the OCHA Centre for Humanitarian Data’s predictive analytics team has worked closely with the Johns Hopkins University Applied Physics Laboratory to build one of the first COVID-19 models specifically designed to support humanitarian response.

practical-1

Oxford Deep NLP 2017 course - Practical 1: word2vec

practical-2

Oxford Deep NLP 2017 course - Practical 2: Text Classification

practical-3

Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs

practical-open

Oxford Deep NLP 2017 course - Open practical

project-examples

Small projects in universal build ecosystems to configure CI and Artifactory

pvdm

:books: Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.

pydata_nyc2018-intro-to-model-interpretability

Notebook and slides for my talk at Pydata NYC 2018