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178 search results found
Awesome Python Data Science
⭐
2,126
Probably the best curated list of data science software in Python.
Benchm Ml
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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.).
Smac3
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938
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Rrcf
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450
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Medium_articles
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436
Scripts/Notebooks used for my articles published on Medium
Gcforest
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370
Python implementation of deep forest method : gcForest
100daysofmlcode
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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
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272
Python Artificial Intelligence Projects for Beginners, published by Packt
Miceforest
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265
Multiple Imputation with LightGBM in Python
Scikit Garden
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242
A garden for scikit-learn compatible trees
Mondrianforest
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221
Code for Mondrian Forests (for classification and regression)
Fully Differentiable Deep Ndf Tf
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209
Fully differentiable deep-neural decision forest in tensorflow
Deep Forest
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186
An on going implementation of the gcForest algorithm
Cudatree
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183
Building random forests on GPU
Lacmus
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155
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Machine_learning_a Z
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130
Learning to create Machine Learning Algorithms
Forwardthinking
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102
Forward Thinking NIPS 2017
2016 Ml Contest
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101
Machine learning contest - October 2016 TLE
Machine Learning 2014
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99
機械学習分科会 for TSG2014 winter
Discomll
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98
Disco Machine Learning Library
Structuredforests
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93
A Python Implementation for Piotr's ICCV Paper "Structured Forests for Fast Edge Detection".
Speculator
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90
API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis
Neural Decision Forests
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87
An implementation of the Deep Neural Decision Forests in PyTorch
Forest Trust Tools
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82
Proof-of-concept tools for my AD Forest trust research
Sklearn Pmml Model
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75
A library to parse and convert PMML models into Scikit-learn estimators.
Bp Network
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71
Multi-Classification on dataset of MNIST
Ml_for_learner
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70
Implementations of the machine learning algorithm with Python and numpy
Landmark_py
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67
Landmark with Regressition in Python (LBF(3000fps), ESR and SDM)
Nowtrade
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57
Python library for backtesting technical/mechanical strategies in the stock and currency markets
Lidar2dems
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57
Utilities using PDAL and PCL to create DTMs, DSMs, and CHMs from lidar data
Iterative Random Forest
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55
Python implementation of iterative-random-forests
Quantumforest
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53
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
Pyfor
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53
Tools for analyzing aerial point clouds of forest data.
Metsim
⭐
53
Meteorology Simulator
Forest_rcnn
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53
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation (ACM MM 2020)
Random Survival Forest
⭐
50
A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
Randomforest
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49
Python implementation of a random forest for use with continuous value attributes
Treelearn
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47
Ensembles and Tree Learning Algorithms for Python
Dzetsaka
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44
dzetsaka : classification plugin for Qgis
Nsforest
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40
A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing
Eurekatrees
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37
Visualizes the Random Forest debug string from the MLLib in Spark using D3.js
Pennylane Rigetti
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35
This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.
Land Cover Analysis
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35
Land Cover Change Detection using Satellite Image Segmentation.
Cell2fire
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35
For Research Use Only: A Cell Based Forest Fire Growth Model
Forest Software
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34
A curated list of projects developed using the Forest quantum programming environment.
Deep Patient
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34
Deep patient implementation
Random_forest_run
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34
Fsh
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33
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.
Adaherf
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33
Adaptative Hybrid Extreme Rotation Forest (AdaHERF)
Stockmarketgan
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32
Stock Market Prediction Using Unsupervised Features
Shallowneuraldecisionforest
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29
Implementation of Deep Neural Decision Forest based on MSR paper
Geeviz
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29
Repository of GEE libraries produced by RedCastle Inc at the US Forest Service Geospatial Technology Applications Center
Opendatasci
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28
Open Data Science Training content and code
Machinelearning_breastcancer_python
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26
Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn
Ar Sudoku Solver
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25
🌲 A augmented reality sudoku solver using random forest classifier and backtracking algorithm
Django Cte Forest
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24
django-cte-forest implements efficient adjacency list trees using Django and PostgreSQL Common Table Expressions (CTE).
Forest
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23
source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"
Forestools
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22
Tools for detecting deforestation and forest degradation
Quora Paraphrase Question Identification
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21
Paraphrase question identification using Feature Fusion Network (FFN).
Regun
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20
Quantitative Error Prediction of Medical Image Registration using Regression Forests
Stata Pylearn
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19
Supervised learning algorithms in Stata
Calibrated Boosting Forest
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19
Original implementation of Calibrated Boosting-Forest
Randomforest Machinelearning
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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.
Hif
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18
Hybrid Isolation Forest
Machine Learning A Z
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18
Machine learning A-Z course from Udemy
Hdb_resale_prices
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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.
Rftk Colrf Icml2013
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17
ICML 2013 experiments for "Consistency of Online Random Forests" using rftk
Randomforest Density Python
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16
Random Forests for Density Estimation in Python
Dl Agriculture
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16
Automatic mapping of center pivot irrigation systems, planted forests and rural infrastructures
Machine Learning A Z Hands On Python
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16
Ampeppy
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16
Cnn Ensemble Classifier Land Use Classification
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15
Convolutional Neural Network combined with ensemble classifier for land use classification
Pymining
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15
python data mining platform
Pyspark
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15
spark (scala and python)
Stock Price Prediction
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15
A practice project for machine learning and stop price prediction
Forestcoverchange
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15
Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery
Vanillaml
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14
A vanilla machine learning library in Python
Cell Segmentation
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14
Automated identification of cell boundaries from the pathological video data
Bnp_paribas_cardiff_claim_management
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14
Automate claim approval in personal insurance sector.
Cstlstm
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14
Child-Sum Tree-LSTM Implementation in PyTorch
Crcf
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13
Combination Robust Cut Forests: Merging Isolation Forests and Robust Random Cut Forests
Stock_price_movement_prediction_rnn_cnn_ffnn
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12
The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).
Woody
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12
A Python library for random forests
Incendios
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12
🔥 Incêndios em Portugal
Rotationforest
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12
Implementation of the Rotation Forest by Rodriques et al. 2006
Cfml_tools
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12
My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context
Dl Semantic Segmentation
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11
Deep-learning applied to semantic segmentation of remote sensing data
Rf_perm_feat_import
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11
Gfcalculator
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11
Global Forest Change calculator - uses Hansen et a. (2013) GFC data to calculate forest cover for given set of areas
Zmusic_code
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11
Code for the EMI Music Data Science Hackathon
Ackeras
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11
AutoML library for Accurat, based on AutoKeras and Scikit-Learn.
Forest Ttk Theme
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10
The Forest theme is a beautiful and modern ttk theme, inspired by Excel
Kaggle Fast Iron
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10
Kaggle Blue Book for Bulldozers Competition
Brut
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10
Machine Learning on the Milky Way Project DR1
Lime Interpretable Ml
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10
An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.
Treebasedmachinelearningalgorithms
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9
source code from the book Tree-based Machine Learning Algorithms by Clinton Sheppard
Irf
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9
Eye-movement event detection using random forest
Mnist_compare
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9
Compare different HOG descriptor parameters and machine learning algorithms for Image (MNIST) classification
Neural_random_forests
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9
Continuous relaxation of Random Regression Forests
Churnbabychurn
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9
Telco Churn - Ensemble and Stacked Classifer Models
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