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259 search results found

Awesome Python Data Science ⭐ 2,126

Probably the best curated list of data science software in Python.

Benchm Ml ⭐ 1,839

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Gcforest ⭐ 1,242

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Medium_articles ⭐ 436

Scripts/Notebooks used for my articles published on Medium

Chefboost ⭐ 428

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

Gcforest ⭐ 370

Python implementation of deep forest method : gcForest

100daysofmlcode ⭐ 302

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

Python Artificial Intelligence Projects For Beginners ⭐ 272

Python Artificial Intelligence Projects for Beginners, published by Packt

Miceforest ⭐ 265

Multiple Imputation with LightGBM in Python

Scikit Garden ⭐ 242

A garden for scikit-learn compatible trees

Mondrianforest ⭐ 221

Code for Mondrian Forests (for classification and regression)

Fully Differentiable Deep Ndf Tf ⭐ 209

Fully differentiable deep-neural decision forest in tensorflow

Deep Forest ⭐ 186

An on going implementation of the gcForest algorithm

Cudatree ⭐ 183

Building random forests on GPU

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Stock Market Forecasting ⭐ 136

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

Machine_learning_a Z ⭐ 130

Learning to create Machine Learning Algorithms

Pyrallel ⭐ 113

Experimental parallel data analysis toolkit.

Forwardthinking ⭐ 102

Forward Thinking NIPS 2017

2016 Ml Contest ⭐ 101

Machine learning contest - October 2016 TLE

Machine Learning 2014 ⭐ 99

機械学習分科会 for TSG2014 winter

Discomll ⭐ 98

Disco Machine Learning Library

Structuredforests ⭐ 93

A Python Implementation for Piotr's ICCV Paper "Structured Forests for Fast Edge Detection".

Speculator ⭐ 90

API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis

Neural Decision Forests ⭐ 87

An implementation of the Deep Neural Decision Forests in PyTorch

Forest Trust Tools ⭐ 82

Proof-of-concept tools for my AD Forest trust research

Sklearn Pmml Model ⭐ 75

A library to parse and convert PMML models into Scikit-learn estimators.

Bp Network ⭐ 71

Multi-Classification on dataset of MNIST

Ml_for_learner ⭐ 70

Implementations of the machine learning algorithm with Python and numpy

Landmark_py ⭐ 67

Landmark with Regressition in Python （LBF(3000fps), ESR and SDM）

Carbon Budget ⭐ 65

Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally

Lidar2dems ⭐ 57

Utilities using PDAL and PCL to create DTMs, DSMs, and CHMs from lidar data

Nowtrade ⭐ 57

Python library for backtesting technical/mechanical strategies in the stock and currency markets

This is the official implementation for the paper 'AutoEncoder by Forest'

Iterative Random Forest ⭐ 55

Python implementation of iterative-random-forests

Randomforest Python ⭐ 55

Meteorology Simulator

Quantumforest ⭐ 53

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

Forest_rcnn ⭐ 53

Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation (ACM MM 2020)

Tools for analyzing aerial point clouds of forest data.

Random Survival Forest ⭐ 50

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Randomforest ⭐ 49

Python implementation of a random forest for use with continuous value attributes

Treelearn ⭐ 47

Ensembles and Tree Learning Algorithms for Python

Dzetsaka ⭐ 44

dzetsaka : classification plugin for Qgis

Nsforest ⭐ 40

A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing

Entropica_qaoa ⭐ 39

EntropicaQAOA is a modular package for the quantum approximate optimisation algorithm (QAOA) built on top of Rigetti’s Forest SDK.

2020plus ⭐ 39

Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests

Python Regression Tree Forest ⭐ 39

Python implementation of CART regression tree and random forests

Forest Benchmarking ⭐ 38

A library for quantum characterization, verification, validation (QCVV), and benchmarking using pyQuil.

Anomaly Detection ⭐ 37

Kaggle Whales ⭐ 37

code for the Whale Detection Challenge competition on Kaggle

Eurekatrees ⭐ 37

Visualizes the Random Forest debug string from the MLLib in Spark using D3.js

Skranger ⭐ 37

scikit-learn compatible Python bindings for ranger C++ random forest library

Cell2fire ⭐ 35

For Research Use Only: A Cell Based Forest Fire Growth Model

Pennylane Rigetti ⭐ 35

This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.

Land Cover Analysis ⭐ 35

Land Cover Change Detection using Satellite Image Segmentation.

Sklearn Random Rotation Ensembles ⭐ 35

Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)

Sagemaker Notebooks ⭐ 34

Amazon SageMaker examples with Japanese comments: SageMakerのサンプルです

Forest Software ⭐ 34

A curated list of projects developed using the Forest quantum programming environment.

Deep Patient ⭐ 34

Deep patient implementation

Random_forest_run ⭐ 34

This software performs the automated forest height inversion and mosaicking from spaceborne repeat-pass L-band HV-pol InSAR correlation magnitude data (e.g. JAXA’s ALOS-1/2, and the future NASA-ISRO’s NISAR) that have been pre-processed by JPL’s ROI_PAC and/or ISCE programs.

Adaptative Hybrid Extreme Rotation Forest (AdaHERF)

Stockmarketgan ⭐ 32

Stock Market Prediction Using Unsupervised Features

Kapok: Python Library for PolInSAR Forest Height Estimation Using UAVSAR Data

FOREST - Forecast and Observation Research and Evaluation Survey Tool

A quick educational implementation of a random forest classifier and a decsion jungle classifier.

Repository of GEE libraries produced by RedCastle Inc at the US Forest Service Geospatial Technology Applications Center

Ml_segmentation ⭐ 29

Machine learning semantic segmentation - Random Forest, SVM, GBC

Shallowneuraldecisionforest ⭐ 29

Implementation of Deep Neural Decision Forest based on MSR paper

Opendatasci ⭐ 28

Open Data Science Training content and code

Continuous Degradation Detection on the Google Earth Engine

GA Data Science NY Section 7

Quantum_tsp ⭐ 26

Machinelearning_breastcancer_python ⭐ 26

Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn

Forest_gen ⭐ 25

Generates randomized Poisson forests to use for UAV collision avoidance evaluations.

Ar Sudoku Solver ⭐ 25

🌲 A augmented reality sudoku solver using random forest classifier and backtracking algorithm

Django Cte Forest ⭐ 24

django-cte-forest implements efficient adjacency list trees using Django and PostgreSQL Common Table Expressions (CTE).

Pedestrian Intention Classification ⭐ 23

Provide Guide to Autonomous Vehicle for Pedestrian Crossing Detection

source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"

Forestools ⭐ 22

Tools for detecting deforestation and forest degradation

Quora Paraphrase Question Identification ⭐ 21

Paraphrase question identification using Feature Fusion Network (FFN).

Forestqc ⭐ 21

Quality control on genetic variants from next-generation sequencing data using random forest

Data Mining Project ⭐ 20

Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.

Stylometric Data Mining Library with a focus on identifying Satoshi Nakamoto as a case study.

Quantitative Error Prediction of Medical Image Registration using Regression Forests

Calibrated Boosting Forest ⭐ 19

Original implementation of Calibrated Boosting-Forest

Stata Pylearn ⭐ 19

Supervised learning algorithms in Stata

raise chickens on the Ant Farm

Forest_change_detection ⭐ 19

Hdb_resale_prices ⭐ 18

Predicted and identified the drivers of Singapore HDB resale prices (2015-2019) with 0.96 Rsquare & $20,000 MAE. Web app deployment using Streamlit for user price prediction.

Randomforest Machinelearning ⭐ 18

Python package for analysing data using machine learning techniques. Provides implementations of different kinds of decision trees and random forests in order to solve classification problems.

Machine Learning A Z ⭐ 18

Machine learning A-Z course from Udemy

Hybrid Isolation Forest

Personal Gunosy for Qiita

2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain

Rftk Colrf Icml2013 ⭐ 17

ICML 2013 experiments for "Consistency of Online Random Forests" using rftk

Ensemble Time Series ⭐ 17

Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) layer and trained using Genetic Algorithms

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