Top 503 classification open source projects

Resurces for MRI images processing and deep learning in 3D

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

Recognizing and localizing melanoma from other skin disease

1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Data-Driven Neuron Allocation for Scale Aggregation Networks

Text processing library for sentiment analysis and related tasks

Multi-class classification with focal loss for imbalanced datasets

A Hidden Markov Model implemented in Javascript

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

HTTP service for Tensorflow images classification model

The official SNOMED CT OWL Toolkit. OWL conversion, classification and authoring support.

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

An open-source semi-automated processing chain for urban OBIA classification.

Focal Loss of multi-classification in tensorflow

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

Extremely simple and fast extreme multi-class and multi-label classifiers.

XED multilingual emotion datasets

Utility package for working with classification targets and label-encodings

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

Kaggle 2018 @ Human Protein Atlas Image Classification

A Python toolbox for computer vision research and project

Gender_classification_challenge

Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

A time series signal analysis and classification framework

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Deep Learning using Rectified Linear Units (ReLU)

This is the baseline of Kaggle-dog-breed-classification on Python, Keras, and TensorFlow.

Second Project of the Udacity Self-Driving Car Nanodegree Program

Machine Learning models from scratch with a better visualisation

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Tools to suggest SQL columns for Pyrog

A python implementation of Patchy-San Convolutional Network for Graph

Drug effect prediction using neural network

Social Signal Processing for Android

Selective Classification For Deep Neural Networks.

10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

OpenMMLab Model Compression Toolbox and Benchmark.

immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.

YOLOv1 tensorflow

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Catalyst.Classification

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Online machine learning methods

This repo introduces how to integrate Tensorflow framework into ROS with object detection API.