Name: Jaehun Ryu
Type: User
Company: POSTECH Department of Computer Science and Engineering
Bio: I am interested in deep learning compiler optimization and efficient deep learning techniques.
Location: Pohang-si, Gyeongbuk, South Korea
Blog: https://ryujaehun.github.io
Jaehun Ryu's Projects
This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).
custom implementation alexnet with tensorflow
Continuous distributed representation of AST tokens
Deep Learning and deep reinforcement learning research papers and some codes
baseline
Simple framework for multi-dimensional Bayesian Optimization.
Some simple benchmark programs for testing CPU core, cache, and main memory performance
cs231n
CUDA Hands-on training material by Jack
This is CSE30500 DataBase TermProject
EDSR with depthwise separable convolution
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Image crawler to crawl images from google image search, which can download more than 100 images by send many search queries.
jetsonTX2 opencv example
Efficient Methods of Training Convolution Neural Network
one-shot-tuner
Using the famous cnn model in Pytorch, we run benchmarks on various gpu.
pytorch implementaton imagenet
android app for smartwatch
stress_test
torch_sr
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
list
PyTorch implementation of DeepMind Wavenet paper.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent