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kaist-ina's Projects

bess_gdx_public icon bess_gdx_public

BESS상에 구현된 새로운 크레딧 기반 혼잡제어 알고리즘 (Experimental)

bp_solver icon bp_solver

The BP-based framework to solve large-scale combinatorial optimization.

bwa-meme icon bwa-meme

BWA-MEME: Faster BWA-MEM2 using learned-index

libvma-tlt-public icon libvma-tlt-public

This is an official GitHub repository for the paper, "Towards timeout-less transport in commodity datacenter networks.".

libvpx icon libvpx

Mirror only. Please do not send pull requests.

memscope icon memscope

Simple memory duplication identifying tool for Android-x86

nas_demo icon nas_demo

This repository holds the full end-to-end prototype for Neural Adaptive Content-aware Internet Video Delivery (OSDI'18) with instructions for the demo.

nas_public icon nas_public

This is an official repository of the paper, "Neural Adaptive Content-aware Internet Video Delivery"

nemo icon nemo

This is an official GitHub repository for the paper, "NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices".

neuroscaler-public icon neuroscaler-public

This is an official GitHub repository for the paper, "Engorgio: Neural Enhancement at Scale"

ns2-flexpass icon ns2-flexpass

Official Github repository for the EuroSys '23 paper "FlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks"

ns3-tlt-rdma-public icon ns3-tlt-rdma-public

This is an official GitHub repository for the paper, "Towards timeout-less transport in commodity datacenter networks.".

ns3-tlt-tcp-public icon ns3-tlt-tcp-public

This is an official GitHub repository for the paper, "Towards timeout-less transport in commodity datacenter networks.".

run-dvc icon run-dvc

Generalizing deep learning-based variant callers via domain adaptation and semi-supervised learning

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tensorrt icon tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tspipe icon tspipe

Official Repository for the paper "TSPipe: Learn from Teacher Faster with Pipelines"

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