xiaocuilin Goto Github PK

multi-channel-time-encoding

This repository contains code to sample and reconstruct bandlimited signals using time encoding machines that use a perfect integrate-and-fire paradigm.

multilayerspiker

Learning Spatio-Temporally Encoded Pattern Transformations in Structured Spiking Neural Networks

music-source-separation-using-convolutional-sparse-coding_16taslp

music-transcription-with-semantic-segmentation

Automatic music transcription using semantic segmentation model. Reached state-of-the-art score on MAPS and MusicNet.

musical-pattern-recognition-in-spiking-neural-networks

Differentiate notes using a spiking neural network

mutiple-f0-estimation

Mutiple F0 Estimation

mybloghexo

mypicturebase

parallelized_lsm_for_unintentional_action_recognition

pe_bsbl_cluster

populationtracking

MATLAB code for implementing the Population Tracking neural data analysis method.

python-100-days

Python - 100天从新手到大师

python-leetcode

Leetcode with Python language

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

python_interview_question

关于python的面试题

python_sound_open

语音信号处理试验教程，Python代码

python_speech_features

This library provides common speech features for ASR including MFCCs and filterbank energies.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

s4nn

Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Journal of Neural Systems (2020), doi: 10.1142/S0129065720500276

samplecode

Some sample code that I've worked on, including programs in matlab, python, and R.

smartsheetmusic

Repository for Niko and Alexis to share stuff

snn-neural-coding

Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)

snn_benchmark

snns-rnns

The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.

som

Pytorch implementation of a Self-Organizing Map

specaugment

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

speech-command-classification

Classifying Google/TensorFlow's Speech_Commands_v0.01 dataset using various Machine/Deep Learning models.

spiking-c3d

Convolutional 3D Spiking Neural Network to classify videos

spiking-neural-network

Design an supervised algorithm based on Tempotron to number recognition.