591 Open source projects that are alternatives of or similar to AdaptiveRandomForest

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

This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".

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

Deep Learning using Rectified Linear Units (ReLU)

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

Ensemble code for Resnet in Tensorflow slim

Second Project of the Udacity Self-Driving Car Nanodegree Program

An implementation of multivariate projection pursuit regression and univariate classification

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

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

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

Tools to suggest SQL columns for Pyrog

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

Deep and Machine Learning for Microscopy

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

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.

A python implementation of Patchy-San Convolutional Network for Graph

Drug effect prediction using neural network

Social Signal Processing for Android

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

Resurces for MRI images processing and deep learning in 3D

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.

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

Selective Classification For Deep Neural Networks.

(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

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

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

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

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

Keras callback function for stochastic weight averaging

OpenMMLab Model Compression Toolbox and Benchmark.

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

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

YOLOv1 tensorflow

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

R package "missRanger" for fast imputation of missing values by random forests.

Focal Loss of multi-classification in 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

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

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

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

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

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.

XED multilingual emotion datasets

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

CLANA is a toolkit for classifier analysis.

Deploy transformers serverless on AWS Lambda

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

Data-Driven Neuron Allocation for Scale Aggregation Networks

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

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

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Utility package for working with classification targets and label-encodings

Model verification, validation, and error analysis

这是一个基于tensorflow和python的猫狗分类算法

🚦 Declarative Finite-State Machines in Go

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

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

Solution of the Titanic Kaggle competition