172 Open source projects that are alternatives of or similar to BasicsMusicalInstrumClassifi

aubio plugins for Vamp

🔉 spafe: Simplified Python Audio Features Extraction

A CNN which converts piano audio to a simplified MIDI format

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

a frame of amd-v svm nest

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Matlab library for gradient descent algorithms: Version 1.0.1

基于DTW与MFCC特征进行数字0-9的语音识别，DTW，MFCC，语音识别，中英数据，端点检测，Digital Voice Recognition。

LIBSVM bindings for Julia

基于新浪微博数据的情感极性分析

Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching

Information Retrieval in High Dimensional Data (class deliverables)

Hyperspectral image Target Detection based on Sparse Representation

A tutorial for using Essentia in Python

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Large Data Analysis Course Project

Control mechanisms to the U-Net architecture for doing multiple source separation instruments

A document covering machine learning basics. 🤖📊

Support Vector Machine in Javascript

Zalo AI Challenge - Music Genre Classification

Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"

Audio feature extraction and classification

Predicting Google’s stock price using regression

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

Padestrian Detection in images using HOG Vector

An AI for Automatic Instrumentation

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Tutorial: Support Vector Machine from scratch using Python3

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

A pytorch implementation of MFCC.

MATLAB implementation of a basic HOG + SVM pedestrian detector.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Genre Classification using Convolutional Neural Networks

Extract mfcc vectors and phones from TIMIT dataset

Package for automatic beat-mixing of music files in Python 🐻🎚

dzetsaka : classification plugin for Qgis

Is This a Joke? Humor Detection in Spanish Tweets

Aircraft engine failure prediction model

Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)

Source code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

Automatic Music Genre Classification with Machine Learning Techniques

Automatic chord recognition application powered by machine learning

A collection of 174,154 multi-track piano-rolls

Interactive Visual Machine Learning Demos.

Official PyTorch implementation of Contrastive Learning of Musical Representations

经典机器学习算法的极简实现

A semantic and technical analysis of musical scores based on Information Retrieval Principles

A convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶

Classification of Breast Cancer diagnosis Using Support Vector Machines

Turkish Makam Music Symbolic Data Collection

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Turkish-Ottoman Makam (M)usic Analysis TOolbox

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

A program for automatic speaker identification using deep learning techniques.

Metadata, scripts and baselines for the MTG-Jamendo dataset