YJG's repositories

AI-System

System for AI Education Resource.

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nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

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azure-linux-automation

Automation tools for testing Linux images on Microsoft Azure

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backend

Common source, scripts and utilities for creating Triton backends.

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chainer-compiler

Experimental toolchain to compile and run Chainer models

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CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

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cudnn-mnist-training

CUDA for MNIST training

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enas_nni

This code is for running enas on nni.

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gh-pages-template

Fork this to start your own site or template for free hosting on GitHub Pages

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go-cupti

Use NVIDIA CUPTI from within GO

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gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.

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MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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netscope

Neural network visualizer

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open-lambda

An open source serverless computing platform

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pyliveupdate

A runtime python code manipulation framework for profiling, debugging and bugfixing

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PyTorch-LSTM

simple LSTM example

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pytorch-vgg-cifar10

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

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Pytorch_Retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

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rDSN

Robust Distributed System Nucleus (rDSN) is an open framework for quickly building and managing high performance and robust distributed systems.

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TensorFlow-Program-Bugs

This repository contains the dataset of our ISSTA 2018 paper: An Empirical Study on TensorFlow Program Bugs.

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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