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66 search results found

Fashion Mnist ⭐ 9,856

A MNIST-like fashion product database. Benchmark 👇

Torchio ⭐ 1,904

Medical imaging toolkit for deep learning

Thundergbm ⭐ 674

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Edward2 ⭐ 656

A simple probabilistic programming language.

Littleballoffur ⭐ 651

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

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

RMDL: Random Multimodel Deep Learning for Classification

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

Python Gift Exchange ⭐ 252

pyge: Holiday Gift Exchange Picker

Ml_implementation ⭐ 238

Implementation of Machine Learning Algorithms

PHP Machine Learning library

Collection TikZ figures for concepts in physics/chemistry/ML

Role2vec ⭐ 157

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Machine Learning In R ⭐ 144

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

Minhashcuda ⭐ 105

Weighted MinHash implementation on CUDA (multi-gpu).

2016 Ml Contest ⭐ 101

Machine learning contest - October 2016 TLE

Walklets ⭐ 96

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

Ds With Pysimplegui ⭐ 62

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

exploratory data analysis using random forests

Iterative Random Forest ⭐ 55

Python implementation of iterative-random-forests

Cl Random Forest ⭐ 55

Random forest in Common Lisp

Missranger ⭐ 53

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

Random Survival Forest ⭐ 50

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

Miceranger ⭐ 42

miceRanger: Fast Imputation with Random Forests in R

Phishing Detection Plugin ⭐ 42

A lite chrome extension for detecting phishing sites using random forest classifier

Deep Learning Notes ⭐ 40

Notes from the DeepLearning.AI courses

Icc 2019 Wc Prediction ⭐ 39

Predicting the winner of 2019 cricket world cup using random forest algorithm

Synthetic Data Gen ⭐ 39

Various methods for generating synthetic data for data science and ML

Skranger ⭐ 37

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

Random Fourier Features

Machine_learning ⭐ 27

Machine learning in R

Machinelearning_breastcancer_python ⭐ 26

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

Foresterror ⭐ 22

A Unified Framework for Random Forest Prediction Error Estimation

Keypoint Learning ⭐ 20

Code for "Learning a Descriptor-Specific 3D Keypoint Detector" and "Learning to detect good 3d keypoints" -ICCV 2015, IJCV 2018

Operalib ⭐ 17

Learning with operator-valued kernels

Healthyr.ts ⭐ 16

A time-series companion package to healthyR

Infinite_stories_with_data ⭐ 16

This repo consists of my analysis of random datasets using various statistical and visualization techniques.

Cic Ids 2018 ⭐ 16

CSE-CIC-IDS-2018 analyze with Random Forest

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

Combination Robust Cut Forests: Merging Isolation Forests and Robust Random Cut Forests

Double Descent Curve ⭐ 11

Double Descent Curve with Optical Random Features

Jupyter_demonstrations ⭐ 11

Random jupyter notebooks on data analysis and machine learning

Random_phenomena_by_babatunde_ogunnaike ⭐ 11

📖 Solutions of exercises from the book "Random Phenomena: Fundamentals of Probability and Statistics for Engineers" by Babatunde Ogunnaike.

Outforest ⭐ 11

Outlier detection based on random forest models

Random Forest ⭐ 10

Implementation of a Random Forest classifier in both Python and Scala

Linear-chain conditional random fields (CRF) for natural language processing

Unbiased Implicit Rec ⭐ 10

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

Unbiased Implicit Rec Real ⭐ 10

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

Random Stuff ⭐ 9

Random stuff I've been working on

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Algorithmically generating Bengali digits and classification using MobileNetV2 for Bangladeshi license plate detection

Multi-Layer Random Forest, with Circularity Features, for Image Segmentation

Conditional Random Fields ⭐ 7

An analysis and implementation of Conditional Random Fields.

Image Mimic Genetic Algorithm ⭐ 7

This unsupervised genetic algorithm i have created will try to mimic the target image (New random image will be generated at each time)

Pixelclassifier ⭐ 7

A single-layer Random Forest model for pixel classification (image segmentation).

Speakerclassifier ⭐ 6

A random forest classifier to predict the age-group and gender of a speaker from voice measurements.

Paris Traffic Prediction ⭐ 6

Visualization and Prediction model of Paris traffic ( random Forests ) from data published by the OpenData-Paris project

Evaluating dependencies among random variables.

Random Bases ⭐ 5

Improving Neural Network Training in Low Dimensional Random Bases

The Header-Only Library For Random Forests

H2o Tutorial ⭐ 5

H2O Tuning and Ensembling Tutorial for R

Machinelearning_toolbox ⭐ 5

Python scripts for ML, ensemble classifier, random hyperparameter search.

q statistical learning

Flexencoder ⭐ 5

Deep Autoencoder for Recommender Systems: Parameter Influence Analysis

Hyper Optimizer ⭐ 5

Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt

Example Random Forest Ocr ⭐ 5

Example of using the Random Forest algorithm for OCR in Ruby.

Delusion Detector ⭐ 5

A simple Node web app that uses Random Forest Regression to detect if a to-be-employee is lying about his previous salary.

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