vinodyk Goto Github PK

apa

Uplift Modeling for Multiple Treatments

automatic_question_generation

autonormalize

python library for automated dataset normalization

awesome-causality-algorithms

An index of algorithms for learning causality with data

bank-customer-churn-python

In this notebook, I used Python to analyze bank customer churn.

boto

For the latest version of boto, see https://github.com/boto/boto3 -- Python interface to Amazon Web Services

causallift

CausalLift: Causality-based Uplift Modeling in real-world business

causalml

Uplift modeling and causal inference with machine learning algorithms

chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

computer-vision-accuracy-improvement

Convolutional Neural Net step by step increase of computer vision

cornell-conversational-analysis-toolkit

device-simulation-dotnet

IoT Simulation service

docs

TensorFlow documentation

fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

featuretools

An open source python library for automated feature engineering

feedjack

Feedparser-based feed aggregation django app

floweaver

View flow data as Sankey diagrams

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

handling-missing-values-imputation

Handling missing values & Imputation

how-to-mine-newsfeed-data-and-extract-interactive-insights-in-python

A practical guide to topic mining and interactive visualizations

js-api-samples

Sample code for the Tableau JavaScript API

kidney_disease_detection

This is a classification problem to predict kidney disease

lifelines

Survival analysis in Python

logistic-regression

Logistic regression - scikitlearn -python

models

Models and examples built with TensorFlow

mr_uplift

Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and multiple responses

natural-language-summary-generation-from-structured-data

Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text

nba_py

Python client for NBA statistics located at stats.nba.com

nfldb

A library to manage and update NFL data in a relational database.