HAO-TUNG YANG's starred repositories

DeepLearning_LHY21_Notes

深度学习 李宏毅 2021 学习笔记

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phy

phy: interactive visualization and manual spike sorting of large-scale ephys data

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Ceiba-Downloader

This is a course-downloader to help NTU students download courses data from NTU Ceiba.

Language:PythonLicense:GPL-3.0Stargazers:138Issues:4Issues:10

Cascade

Calibrated inference of spiking from calcium ΔF/F data using deep networks

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:117Issues:10Issues:42

Class-agnostic-Few-shot-Object-Counting

pytorch implementation of a WACV 2021 Paper "Class-agnostic Few-shot-Object-Counting"

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LFPy

Python-module for calculation of extracellular potentials from multicompartment neuron models and networks

Language:PythonLicense:GPL-3.0Stargazers:74Issues:7Issues:211

MCmatlab

Numerical simulation tool for Monte Carlo propagation of light in turbid media

Language:MATLABLicense:GPL-3.0Stargazers:52Issues:6Issues:10

siamese-pytorch

A PyTorch implementation of siamese networks using backbone from torchvision.models, with support for TensorRT inference.

VAE-in-predicting-stock

VAE in feature extraction help predicting stock

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Eyes-Protector

help the computer users protect their eyes from eyestrain, dry eyes, and myopia.

Language:PythonLicense:Apache-2.0Stargazers:28Issues:3Issues:0

Auto-Translate

Python file for automatically translate language, just need to press crtl+space!

Language:HTMLLicense:MITStargazers:26Issues:2Issues:0

hierarchical_lfads

Pytorch implementation of lfads, and hierarchical extension

Language:Jupyter NotebookLicense:MITStargazers:26Issues:3Issues:2

Glove-Mouse

A glove mouse that can replace your physical mouse and keyboard.

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NTUcourse

Improve the course selection website of Nation Taiwan Unversity, saving a lot of time, and get the most needed course information.

110-1-NTU-DBME5028

Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

Language:Jupyter NotebookLicense:MITStargazers:8Issues:4Issues:0

SMS-sample-question

替代役新訓考古題整理