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39 search results found

H2o 3 ⭐ 6,618

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Flaml ⭐ 3,500

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Machine Learning With Python ⭐ 2,980

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

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.).

Text_classification ⭐ 1,621

Text Classification Algorithms: A Survey

Awesome Fraud Detection Papers ⭐ 1,364

A curated list of data mining papers about fraud detection.

Gcforest ⭐ 1,242

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

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Awesome Gradient Boosting Papers ⭐ 930

A curated list of gradient boosting research papers with implementations.

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

User Machine Learning Tutorial ⭐ 386

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Sharplearning ⭐ 372

Machine learning for C# .Net

2018 Machinelearning Lectures Esa ⭐ 324

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Handson Ml ⭐ 277

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Shapley ⭐ 198

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

Conformalized Quantile Regression

Betaml.jl ⭐ 83

Beta Machine Learning Toolkit

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

Proglearn ⭐ 33

NeuroData's package for exploring and using progressive learning algorithms

Github Stars Predictor ⭐ 25

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Machine Learning library written in Python and NumPy.

Advancedanalyticslabs ⭐ 24

Analytics labs notebooks for Statistics and Business School students

Ml Spam Sms Classification ⭐ 23

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

Efficient_online_learning ⭐ 22

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

Simple Implementation Of Ml Algorithms ⭐ 17

My simplest implementations of common ML algorithms

Deepforest ⭐ 17

upgrade official version of gcForest v1.0.

Forecast Of Time Series With Stock Data ⭐ 16

Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets

Emotion Prediction With Quantum5 Neural Network Ai Machine Learning ⭐ 13

Emotion Prediction with Semi Supervised Learning of Machine Learning Software with RC Algorithm - By Emirhan BULUT Emotion-Prediction-with-Quantum5-Neural-Network-AI

Df Dn Paper ⭐ 12

Conceptual & empirical comparisons between decision forests & deep networks

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Deep learning library based on the gcForest algorithm

Data Science Portfolio ⭐ 10

Object Depth Detection Based Hybrid Distance Estimator ⭐ 10

We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.

Sentimentanalysis Python Demo ⭐ 10

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

The Math Of Intelligence ⭐ 8

Implementation of Artificial Intelligence models without using any blackbox or libraries 😎

Multiechoai ⭐ 7

Myocardial Infarction Detection

Twitter_sentiment_bert_scikit ⭐ 7

Twitter US Airline数据集情感分析（sentiment Analysis），使用Bert Sentence encoding作为特征，实现了SVM、XGBoost、RandomForest（随机森林）若干分类

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Wikipedia_analysis ⭐ 6

Different techniques to measure the quality of Wikipedia

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Machine Learning Course ⭐ 5

Machine Learning and Deep Learning Course

Deep Neural Decision Forests ⭐ 5

A model combining Deep Neural Networks and (Stochastic) Random Forests.

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