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Yongjoo Ahn's Projects

api icon api

Machine Learning API (Origin: C++: SNAP, C/C#: Tizen API, Java: Samsung-Research ML API)

dotfiles icon dotfiles

:house: Personal dotfiles for *NIX systems

executorch icon executorch

End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models

flatbuffers icon flatbuffers

FlatBuffers: Memory Efficient Serialization Library

gst-gz icon gst-gz

GStreamer plugin for gzip and zlib compression and decompression.

gst-plugins-base icon gst-plugins-base

'Base' GStreamer plugins and helper libraries. This module has been merged into the main GStreamer repo for further development.

mediapipe icon mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

ncnn icon ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

nnstreamer icon nnstreamer

:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

nnstreamer-edge icon nnstreamer-edge

Remote source nodes for NNStreamer pipelines without GStreamer dependencies

nnstreamer-example icon nnstreamer-example

Example applications of nnstreamer. Note that we have to enable the 'apptest" CI module in the near future.

nntrainer icon nntrainer

NNtrainer is Software Framework for Training Neural Network Models on Devices.

one icon one

On-device Neural Engine

paho.mqtt.c icon paho.mqtt.c

An Eclipse Paho C client library for MQTT for Windows, Linux and MacOS. API documentation: https://eclipse.github.io/paho.mqtt.c/

play_with_tflite icon play_with_tflite

Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ssat icon ssat

Shell Script Automated Tester (unit testing executable files)

taos-ci icon taos-ci

:tangerine: TAOS-CI (a.k.a LightSys) is an lightweight and efficient CI system to achieve "Review less, merge faster" with a PR-based code review facilities. It is completely compatible with all GitHub repositories although TAOS-CI is designed & implemented for NNStreamer repository.

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