Name: kuonanhong
Type: User
Company: National Taiwan University
Bio: 1. Post - Doctor in National Taiwan University
2.Business:
https://kuonanhong.jeunesseglobal.com
Location: Taipei City, Taiwan
Blog: https://www.facebook.com/profile.php?id=100001578683167
kuonanhong's Projects
Implementation of the TextTiling algorithm for CS187
TensorFlow implementation of recurrent neural network encoder-decoder architecture model for statistical machine translation, as detailed in this paper: https://arxiv.org/pdf/1406.1078.pdf
Deep learning library featuring a higher-level API for TensorFlow.
A Python module for time-frequency analysis
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
Demonstration of recurrent neural network implemented with Theano
Дипломная работа специалиста за 2015 год на тему "Акустическая система мониторинга на основе пространственной фильтрации звуковых сигналов".
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
tibame_etl
Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3
JACK tools
A project with topic model implementations
Pytorch port of Google Research's VGGish model used for extracting audio features.
simple showcase of an Ethereum smart contract for supply chain / trade finance
simplistic pitch-detection-based music transcriber
Everything about Transfer Learning and Domain Adaptation--迁移学习
Solution to TSP (Travelling salesman problem) using Particle Swarm Optimization (PSO) - Language: Python
A Python package to store time series data in HDF5 files using PyTables
Technical analysis and other functions to construct technical trading rules with R
机器学习相关教程
A two-stage polyphonic sound event detection and localization method for both SED and DOA.
Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance
1st place solution to the DCASE 2019 - Task 5 - Urban Sound Tagging
JAMS annotation files for the original and augmented UrbanSound8K dataset
(Python) Using Random Patterns to Predict the S&P 500