493 Open source projects that are alternatives of or similar to Glcm Svm

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Code for Tensorflow Machine Learning Cookbook

dzetsaka : classification plugin for Qgis

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

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

🏭 JavaScript Machine Learning Toolkit

新浪微博情感分析应用

Gaussian Process package based on data augmentation, sparsity and natural gradients

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

Simple machine learning library / 簡單易用的機器學習套件

A curated list of data mining papers about fraud detection.

Tribuo - A Java machine learning library

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

A collection of tools for chemometrics and machine learning written in Julia.

memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

An Interactive Approach to Understanding Deep Learning with Keras

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Data augmentation for NLP, presented at EMNLP 2019

Predicting forex binary options using time series data and machine learning

Gesture Recognition using TensorFlow

文本分类基准测试

TiMBL implements several memory-based learning algorithms.

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

This is a Flask app that can classify images of dog and cat. The underlying model is a CNN trained using Keras framework

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Service Classification based on Service Description

A comparative assessment of machine learning classification algorithms applied to poverty prediction

all kinds of text classification models and more with deep learning

Python wrapper to small NORB dataset

Create and manage PE node groups as resources.

Implementation of different techniques to find insights from the satellite data using Python.

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

🔎 Classification helper for sex classification feature of InstaPy

a standard filetree for /r/datacurator [ and r/datahoarder ]

A computer vision project, based on cimg library and svm training, to classify handwriting number.

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Algorithms to automatically discover stops and moves in GPS trajectories.

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

x86_64 AMD kernel optimized for performance & hypervisor usage

A Python package for time series classification

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

Skin cancer classification using Inceptionv3

🏷 iOS11 demo application for predicting gender from first names.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

The homework of my 3rd-term

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

The Operator Splitting QP Solver

Java Statistical Analysis Tool, a Java library for Machine Learning

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Yet another neural network library

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

A scikit-learn based module for multi-label et. al. classification

Chinese Question Classifier (Keras Implementation) on BQuLD

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Deep neural network framework for multi-label text classification

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

This is a repository for an image classification inference API using the Gluoncv framework. The inference REST API works on CPU/GPU. It's supported on Windows and Linux Operating systems. Models trained using our Gluoncv Classification training repository can be deployed in this API. Several models can be loaded and used at the same time.