105 Open source projects that are alternatives of or similar to Lineargo

Padestrian Detection in images using HOG Vector

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

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

(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

🏆 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.

Is This a Joke? Humor Detection in Spanish Tweets

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

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

Support Vector Machine in Javascript

Interactive Visual Machine Learning Demos.

Predicting Google’s stock price using regression

基于新浪微博数据的情感极性分析

a frame of amd-v svm nest

Tutorial: Support Vector Machine from scratch using Python3

Information Retrieval in High Dimensional Data (class deliverables)

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

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

dzetsaka : classification plugin for Qgis

Large Data Analysis Course Project

Aircraft engine failure prediction model

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 document covering machine learning basics. 🤖📊

Matlab library for gradient descent algorithms: Version 1.0.1

LIBSVM bindings for Julia

Classification of Breast Cancer diagnosis Using Support Vector Machines

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。

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.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

A practice project for machine learning and stop price prediction

The R package for SVM with GPU architecture based on the GTSVM software

liblinear bindings for Go

Linear SVM with PyTorch

Open Source Landmarking Library

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

A minimalistic educational hypervisor for Windows on AMD processors.

Interactive SVM Explorer, using Dash and scikit-learn

Scene text detection and recognition based on Extremal Region(ER)

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

machine learning algorithm

新浪微博情感分析应用