461 Open source projects that are alternatives of or similar to df-dn-paper

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

This is the implementation of Sparse Projection Oblique Randomer Forest

An Interactive Approach to Understanding Deep Learning with Keras

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

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

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…

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

🍊 📊 💡 Orange: Interactive data analysis

Machine Learning models from scratch with a better visualisation

Text processing library for sentiment analysis and related tasks

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

HTTP service for Tensorflow images classification model

Data-Driven Neuron Allocation for Scale Aggregation Networks

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

A Hidden Markov Model implemented in Javascript

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

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

An implementation of multivariate projection pursuit regression and univariate classification

Predicting IPL match results. https://kuharan.github.io/IPL-ML-2018/

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

Classification of WAV files from cats and dogs

simple tutorial on Machine Learning with Scikitlearn

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

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

Focal Loss of multi-classification in tensorflow

Recognizing and localizing melanoma from other skin disease

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

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

🚦 Declarative Finite-State Machines in Go

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

Multi-class classification with focal loss for imbalanced datasets

Deploy transformers serverless on AWS Lambda

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

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

Python Machine Learning Algorithms

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

Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

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.

Resurces for MRI images processing and deep learning in 3D

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

Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)

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

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

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

XED multilingual emotion datasets

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

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

Official repository for "Orthogonal Projection Loss" (ICCV'21)

Utility package for working with classification targets and label-encodings

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

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

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

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".

R package to Embed All the Things! using StarSpace

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.