Paul Hendricks

awesome-open. A curated list of awesome Open Organizations and Communities!

anonymizer. Anonymize data containing Personally Identifiable Information (PII) in R

gym-inventory. An OpenAI Gym environment for Inventory Control problems

OpenATC. An open source sneaker bot written in Python

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

scorer. Metrics for scoring machine learning models in R

gym-R. An R package providing access to the OpenAI Gym API

detector. Detect data containing Personally Identifiable Information (PII) in R

titanic. An R data package containing Kaggle Titanic datasets

functools. Tools for Functional Programming in R

profilr. Profile data in R

hidden-markov-models-for-time-series. Hidden Markov Models for Time Series: An Introduction Using R

describer. Describe data in R

forecasting-best-practices. Jupyter Notebook

gym-gambling. An OpenAI Gym environment for Gambling problems

MachineLearningMetrics.jl. DEPRECATED: MOVED TO JuliaML/MLMetrics.jl

geospatial-drive-time. Jupyter Notebook

t5-benchmarking. Jupyter Notebook

rapids-dataloader-examples. Jupyter Notebook

2016-14. Week 14 of 2016

awesome-deep-learning. Awesome resources for Deep Learning

2016-13. Week 13 of 2016

cuspatial. CUDA-accelerated GIS and spatiotemporal algorithms

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

cugraph. cuGraph - RAPIDS Graph Analytics Library

cuml. cuML - RAPIDS Machine Learning Library

create-context. Rust

dask-cuda. Utilities for Dask and CUDA interactions

usb_barcode_scanner. package supporting usb handheld barcode scanner. Using python 3.

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

python-machine-learning-book-2nd-edition. The "Python Machine Learning (2nd edition)" book code repository and info resource

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

neural-mmo. Neural MMO - A Massively Multiagent Game Environment

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

ccc. Companion Code for C++ Crash Course

cudf. cuDF - GPU DataFrame Library

DCL. Destruction and Construction Learning for Fine-grained Image Recognition

notebooks. RAPIDS Sample Notebooks

datasets-list. Datasets on topics which I need to keep tabs on

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

notebooks-extended. RAPIDS Community Notebooks

NeMo. Neural Modules: a toolkit for conversational AI

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

deepstream_reference_apps. Samples for TensorRT/Deepstream for Tesla & Jetson

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

retinanet-examples. Fast and accurate object detection with end-to-end GPU optimization

acs. :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

2016_08_02_rioOlympicsAthletes. init

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

apidocs-v4. Documentation for the PokitDok Platform APIs

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

anomaly_detection. Jupyter Notebook

anomalous. Anomalous time series package for R

awesome-causal-inference.

anomalous-acm. Anomalous time series package for R (ACM)