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agner

Reworking of Agner Fog's performance test programs for Linux

awesome-vsan

Awesome List of VMware vSan Resources

client_lib

Workbooks API language bindings (PHP, C#, Java, Ruby, VBA). Workbooks' API is metadata-driven so these do not need to change often and API changes are always backward-compatible. We are proud that code written to our API in 2011 continues to be work and be supported.

cloud-volume

Read and write Neuroglancer datasets programatically.

cmake-examples

Useful CMake Examples

coronavirus-dataset

[CSV] Official information of Coronavirus disease 2019 (COVID-19) in South Korea (from KCDC)

cs161code

CS161 at Chemeketa Community College

cs162code

dataflows

DataFlows is a simple, intuitive lightweight framework for building data processing flows in python.

deepstream_reference_apps

Samples for TensorRT/Deepstream for Tesla & Jetson

docker-recordings-transcoder

Watches for .ts files made by Live TV recordings and converts them to h265 .mp4 files automatically.

esir

Extended state-space SIR epidemiological models

ffmpeg-nvenc-compile

A script that will compile ffmpeg for use with the nvenc encoder.

flashlight

A C++ standalone library for machine learning

fos-streaming-v1

ftl

C++ template library for fans of functional programming

h265ize-nvidia-docker

NVIDIA Docker Image For Use With UnRaid

h265ize_nevc

A node utility utilizing ffmpeg to encode videos with the hevc codec.

horizon-linux-vm

Optimize Ubuntu Template for VMware Horizon 7

intellilinkappeditor

A small editing tool for IntelliLink/MyLink ClientAppInfo.bin files.

ios

📱 Nextcloud iOS app

keras-mobile-detectnet

Fast Object Detector for the Jetson Nano

lightwave

Identity services for traditional infrastructure, applications and containers.

lognorm

Functions for the lognormal distribution in R

m4v-converter

This script automates media conversion to a universal MP4 format with many options to customize. Avoid transcoding and support native playback across all devices when using Plex.

mavicpro

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

moa-notebooks

MOA Notebooks

models

A collection of pre-trained, state-of-the-art models in the ONNX format

move37

Coding Demos from the School of AI's Move37 Course