Paul Hendricks

An adversarial example library for constructing attacks, building defenses, and benchmarking both

API to access OpenAI Gym from other languages via HTTP

A toolkit for easily building and evaluating machine learning models.

An R data package containing Kaggle Titanic datasets

A curated list of awesome Open Organizations and Communities!

Anonymize data containing Personally Identifiable Information (PII) in R

An OpenAI Gym environment for Inventory Control problems

An open source sneaker bot written in Python

Generate data containing fake Personally Identifiable Information (PII) in R

Metrics for scoring machine learning models in R

An R package providing access to the OpenAI Gym API

Detect data containing Personally Identifiable Information (PII) in R

Tools for Functional Programming in R

Profile data in R

Hidden Markov Models for Time Series: An Introduction Using R

Describe data in R

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DEPRECATED: MOVED TO JuliaML/MLMetrics.jl

An OpenAI Gym environment for Gambling problems

CUDA-accelerated GIS and spatiotemporal algorithms

cuGraph - RAPIDS Graph Analytics Library

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Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes

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Awesome resources for Deep Learning

Week 13 of 2016

Week 14 of 2016

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Neural Modules: a toolkit for conversational AI

Assertive programming for R analysis pipelines

Neural MMO - A Massively Multiagent Game Environment

Samples for TensorRT/Deepstream for Tesla & Jetson

Fast and accurate object detection with end-to-end GPU optimization

Utilities for Dask and CUDA interactions

cuDF - GPU DataFrame Library

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

RAPIDS Sample Notebooks

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Companion Code for C++ Crash Course

Destruction and Construction Learning for Fine-grained Image Recognition

A project demonstrating use of Python for DeepStream sample apps given as a part of SDK (that are currently in C,C++).

FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more

RAPIDS Community Notebooks

A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.

package supporting usb handheld barcode scanner. Using python 3.

Look-into-Object: Self-supervised Structure Modeling for Object Recognition (CVPR 2020)

cuML - RAPIDS Machine Learning Library

BlazingSQL is a lightweight, GPU accelerated, SQL engine built on RAPIDS.

Datasets on topics which I need to keep tabs on

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A curated list of awesome Deep Learning tutorials, projects and communities.

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Set of machine learning tools based on Hadoop and Storm https://pkghosh.wordpress.com/

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Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

Staffjoy Suite (V1) Microservice - Original autoscheduling algorithm, which combines shift creation and assignment

The Arcade Learning Environment (ALE) -- a platform for AI research.

Web interface for browsing, search and filtering recent arxiv submissions

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Documentation for the PokitDok Platform APIs

Anomaly Detection with R

Anomalous time series package for R (ACM)

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Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

Anomalous time series package for R

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Example Amazon Affiliate store front template

:exclamation: This is a read-only mirror of the CRAN R package repository. acs — Download, Manipulate, and Present American Community Survey and Decennial Data from the US Census. Homepage: http://dusp.mit.edu/faculty/ezra-glenn, http://eglenn.scripts.mit.edu/citystate/, http://mailman.mit.edu/mailman/listinfo/acs-r

A machine learning project to fit consumer's web-browsing and advertising impression data to a top-secret Hidden Markov Model

Artificial Intelligence for Humans

Agency Theme for Jekyll

init

Companion to the PyCon 2016 talk "Accelerating Healthcare Transactions with Python and PyPy" https://us.pycon.org/2016/schedule/presentation/1917/

Profile data in Python

Kaggle: The Allen AI Science Challenge

The "Python Machine Learning (2nd edition)" book code repository and info resource

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The codes I made while I practiced various TensorFlow examples

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Kaggle: The Winton Stock Market Challenge

Modern Django: A Guide on How to Deploy Django-based Web Applications in 2017

A playground for evaluating Reinforcement Learning algorithms

A truly open version of gpt-oss which shows the entire pre-training from scratch

Learn the building blocks of how to build gpt-oss from scratch

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Route LLM requests to the best model for the task at hand.

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Active Message library for Dynamo

RelBench: Relational Deep Learning Benchmark

Rust library for OpenAI

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Google Drive API client library in R

Kalman Filter, Smoother, and EM Algorithm for Python

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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Material Design for django forms and admin

How to Tango With Django

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mhsmm: Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences

Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

functions code bricks for JavaScript

Fitloop - Open Fitness Platform

rOpenSci Style Guide

A clean Bootstrap blog theme created by Start Bootstrap

A web app landing page theme created by Start Bootstrap

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MapBox map output made simple with Python datastructures.

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Python Backtesting library for trading strategies

Easy way to add GoogleMaps to Flask applications.

Notes on Scientific Computing for Biomechanics and Motor Control

Turn your R code into a web API.

A responsive Jekyll theme with clean typography and support for large full page images.

A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.

Simple web scraping for R

Free Bootstrap 3 Admin Template

Tutorials and information on the Julia language for MIT numerical-computation courses.

The "Python Machine Learning (1st edition)" book code repository and info resource

Kaggle: Grupo Bimbo Inventory Demand

Deep learning for recommender systems

Boilerplate proposal for R Consortium ISC Proposals

R scripts and data files for the Fantasy Football Analytics website

Simple example of using pybind11.

Useful CMake Examples

Convert statistical analysis objects from R into tidy format

A C++ Library for Developing Compute Intensive Asynchronous Micro-Services using gRPC

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:earth_americas: My personal website and blog

Support content for my blog

Unsupervised Language Modeling at scale for robust sentiment classification

Synthesizing and manipulating 2048x1024 images with conditional GANs

Distributed (muti-gpu and multi-node) sequence to sequence learning

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

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

Progress bar in your R terminal

Code and data for reproducing key results in the paper "Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence".

httr: a friendly http package for R

Stock options, RSUs, taxes — a guide for humans

A Teradata backend for dplyr

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016

A curated list about OKR (Objective - Key Results)

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A SQLAlchemy dialect for Teradata

A Python Module to make it easy to script powerful interactions with Teradata Database in a DevOps friendly way.

Plyr specialised for data frames: faster & with remote datastores

What can a technologist do about climate change? A personal view

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A living collection of deep learning problems

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Kaggle Python docker image

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Kaggle R docker image

A FP package for R in the spirit of underscore.js

Minimal and clean examples of machine learning algorithms implemented in Julia

Talks from StanCon

A pkgdown template for core tidyverse packages

:exclamation: This is a read-only mirror of the CRAN R package repository. ChannelAttribution — Markov Model for the Online Multi-Channel Attribution Problem. Homepage: http://www.slideshare.net/adavide1982/markov-model-for-the-multichannel-attribution-problem http://www.lunametrics.com/blog/2016/06/30/marketing-channel-attribution-markov-models-r/ http://analyzecore.com/2016/08/03/attribution-model-r-part-1/

Staffjoy V2 - all microservices in a monorepo

Static site to make the V2 repo "go get"-able

Staffjoy API Wrapper in Python

Optimization examples in Julia and JuMP from the StaffJoy team

Suite/V1 Microservice - Demand to Shift Decomposition

Staffjoy V1, aka "Suite" - a scheduling application for hundreds of workers

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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Advanced Topics in Scientific Computing with Julia

RTI's open-source Call for Service (CFS) application for showing CFS/911 data.

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Building Machine Learning Projects with TensorFlow by Packt

It tells you whether or not you should take a shot or spray yourself with some refreshing Curve™

Source for http://modweb.io

A Julia package for data clustering

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A minimal book example using bookdown

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

sklearn wrappers for stacked denoising autoencoders

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TensorFlow Tutorials

Simple tutorials using Google's TensorFlow Framework

From the basics to slightly more interesting applications of Tensorflow

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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A parallel version of Trust Region Policy Optimization

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Time series visualisation

Dashby. Dashboard for small bussiness

Genetic function optimization via differential evolution in Python.

Various tools to help writing and interacting with CUDA kernels.

Python library for making psychology experiments with Qt

Python Time Series Analysis (PTSA, pronounced "pizza")

Python library for running DEMC on hierarchical models.