jueonpark Goto Github PK

abstractive-summarization

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

adversarial_text_tf2

adversarial text implemented in TensorFlow 2

fsdl-text-recognizer-2021-labs

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

fsdl-text-recognizer-2022

Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs

fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

hlo_breakdown

breakdowns XLA HLO based on its metadata

jueonpark

Config files for my GitHub profile.

listen-attend-and-spell

tf 2.0 implementation of Listen, attend and spell

mlir_tutorial

practice for MLIR

ncf

A fork from https://github.com/hexiangnan/neural_collaborative_filtering. Uses tf.keras instead of plain keras.

ndpxconfig

NDPX Configuration for the simulator

ndpxestimator

ndpxkernelexperiment

experiment on ndpx kernels

nmt_tf2

TensorFlow Neural Machine Translation Tutorial - with TF2 support

opencl-examples

Simple OpenCL examples for exploiting GPU computing

pim_baseline_trace

trace

processing-in-memory-design

ramulator

A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf

ramulator-pim

A fast and flexible simulation infrastructure for exploring general-purpose processing-in-memory (PIM) architectures. Ramulator-PIM combines a widely-used simulator for out-of-order and in-order processors (ZSim) with Ramulator, a DRAM simulator with memory models for DDRx, LPDDRx, GDDRx, WIOx, HBMx, and HMCx. Ramulator is described in the IEEE CAL 2015 paper by Kim et al. at https://people.inf.ethz.ch/omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf Ramulator-PIM is used in the DAC 2019 paper by Singh et al. at https://people.inf.ethz.ch/omutlu/pub/NAPEL-near-memory-computing-performance-prediction-via-ML_dac19.pdf

rl

asdf

rnnt-speech-recognition

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

split-complex-net

Split-Complex Neural Network

tensorflow-cifar100

High-acc(>0.7) model(ResNet, ResNeXt, DenseNet, SENet, SE-ResNeXt) on TensorFlow.

tensorflow-dlrm

TF2 implementation of DLRM (inherited and modified from openrec's initial implementation)

tensorflow_dlrm

TF2 implementation of Deep Learning Recommendation Model

tracegen

transformer-xl

Add support for TF2

xla-hlo-profile

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding