Jiun Kai Yang's Projects
standalone cacti estimator plug-in for accelergy
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Macro Neural Architecture Search Benchmark
Code release for ConvNeXt model
Data-efficient Training of Machine Learning Models
Automated Tools for Crypto Arsenal 2021 NTU & NTHU Competition
Scientific Computing
A wrapper framework for Reinforcement Learning in Webots simulator using Python 3.
Panda with Deep Reinforcement Learning Simulation Environment Webots
Examples and use cases using the deepbots framework (https://github.com/aidudezzz/deepbots) with the Webots robot simulator.
Data Reduction and Calibration for Direct Imaging
Data Reduction and Calibration for Direct Imaging
Data Reduction and Calibration for Direct Imaging
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
Apply the knowledge learned from the course of data structures and implement a fun Tetris.
Apply the knowledge learned from the course of data structures and implement an efficient robot floor cleaning algorithm.
PyTorch implementation of EfficientNetV2 family
Script to remotely check GPU servers for free GPUs
Inception Score for GANs in Pytorch
A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.