Top 503 classification open source projects

Julia package of loss functions for machine learning.

LSTM and CNN sentiment analysis

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.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

A high-level machine learning and deep learning library for the PHP language.

Classification with PyTorch.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

FrostNet: Towards Quantization-Aware Network Architecture Search

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

simple rules engine

An open source framework for deep learning on satellite and aerial imagery.

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

《深度学习与计算机视觉》配套代码

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

R package to interface with OpenML

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

My Attempt(s) In The World Of ML/DL....

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

MLBox is a powerful Automated Machine Learning python library.

Telegram Data Clustering contest solution by Mindful Squirrel

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Web application for management formal representations of knowledge, like controlled vocabularies, taxonomies, thesauri and glossaries

Classification schemes for choropleth mapping.

This is the implementation of Sparse Projection Oblique Randomer Forest

Measure and visualize machine learning model performance without the usual boilerplate.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Machine Learning & Data Mining with JRuby

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Repo for Applied Text Mining in Python (coursera) by University of Michigan

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Dog and cat image classifier with deep learning

Multi-class confusion matrix library in Python

A python implementation of C4.5 algorithm by R. Quinlan

All kinds of neural text classifiers implemented by Keras

PHP-ML - Machine Learning library for PHP

Hung-Yi Lee ML 2017 Spring Homework

Generalized Data-free Universal Adversarial Perturbations

Classification for covid-19 chest X-ray images using Lightning

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

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

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

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

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.

Python wrapper to small NORB dataset

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

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

TiMBL implements several memory-based learning algorithms.

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

Yet another neural network library

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.

A Julia machine learning framework