ensemble-learning · GitHub Topics

#自然语言处理#Fast and Accurate ML in 3 Lines of Code

翻译 - AutoGluon：用于深度学习的AutoML工具包

automl 机器学习数据科学深度学习 ensemble-learning 机器视觉自然语言处理 structured-data object-detection gluon transfer-learning PyTorch automated-machine-learning scikit-learn tabular-data hyperparameter-optimization time-series forecasting Python

Python 8.53 k

6 天前

h2oai / h2o-3

#计算机科学#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-Me...

翻译 - 适用于更智能应用的开源快速可扩展机器学习平台：深度学习，梯度提升和XGBoost，随机森林，广义线性建模（逻辑回归，弹性网），K均值，PCA，堆叠集成，自动机器学习（AutoML）等。

h2o 机器学习数据科学深度学习 big-data ensemble-learning gbm random-forest naive-bayes pca Open Source distributed Java Python R hadoop Apache Spark gpu automl

Jupyter Notebook 7.07 k

21 小时前

MingchaoZhu / DeepLearning

#计算机科学#Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Python 深度学习机器学习 xgboost ensemble-learning bayesian regularization

Python 6.79 k

5 年前

BoltzmannEntropy / interviews.ai

#计算机科学#It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers...

翻译 - 我相信本书主要面向的研究生和求职者将会受益于阅读它；然而，我希望即使是最有经验的研究人员也会发现它很吸引人。

数据科学机器学习深度学习 interview-preparation jobs 人工智能 pytorch-tutorial graduate-school PyTorch Python jax autograd information-theory bayesian-statistics convolutional-neural-networks ensemble-learning feature-extraction logistic-regression loss-functions

4.56 k

3 年前

salesforce / Merlion

#计算机科学#Merlion: A Machine Learning Framework for Time Series Intelligence

翻译 - Merlion：时间序列智能的机器学习框架

time-series anomaly-detection forecasting 机器学习 benchmarking automl ensemble-learning

Python 4.16 k

9 个月前

benedekrozemberczki / awesome-decision-tree-papers

#计算机科学#A collection of research papers on decision, classification and regression trees with implementations.

翻译 - 有关决策，分类和回归树及其实现的研究论文的集合。

decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart 机器学习 machine-learning-research random-forest xgboost lightgbm catboost classification-model classifier ensemble-learning statistical-learning

Python 2.39 k

1 年前

JuliaAI / MLJ.jl

#计算机科学#A Julia machine learning framework

机器学习 Julia 语言 pipelines tuning 数据科学 tuning-parameters predictive-modeling classification regression 统计 clustering stacking ensemble-learning pipeline

Julia 1.83 k

14 天前

justmarkham / DAT8

#自然语言处理#General Assembly's 2015 Data Science course in Washington, DC

数据科学机器学习 scikit-learn 数据分析 pandas Jupyter Notebook Python course linear-regression logistic-regression naive-bayes 自然语言处理 decision-trees ensemble-learning clustering Regular expression web-scraping 数据可视化 data-cleaning

Jupyter Notebook 1.61 k

9 个月前

ZhiningLiu1998 / awesome-imbalanced-learning

#Awesome#😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

Awesome Lists 机器学习 ensemble-learning imbalanced-data 深度学习 fairness-ml

1.42 k

15 天前

kingfengji / gcForest

#计算机科学#This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

机器学习 random-forest ensemble-learning

Python 1.31 k

4 年前

reiinakano / xcessiv

#计算机科学#A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

机器学习 ensemble-learning scikit-learn 数据科学 hyperparameter-optimization automated-machine-learning

Python 1.27 k

7 年前

TorchEnsemble-Community / Ensemble-Pytorch

#计算机科学#A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

PyTorch pytorch-tutorial ensemble-learning ensemble 深度学习 neural-networks gradient-boosting

Python 1.02 k

9 个月前

LAMDA-NJU / Deep-Forest

#计算机科学#An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

机器学习 ensemble-learning random-forest Python

Python 935

10 个月前

Minqi824 / ADBench

#计算机科学#Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection benchmark data-mining 深度学习机器学习 outlier-detection semi-supervised-learning supervised-learning unsupervised-learning data-sicence ensemble-learning neural-networks Python

Python 913

2 年前

shubhomoydas / ad_examples

#时序数据库#A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanatio...

ensemble-learning active-learning anomaly-detection rnn lstm interpretability time-series timeseries trees autoencoder streaming concept-drift Generative Adversarial Network graph-convolutional-networks adversarial-attacks

Python 854

10 个月前

flennerhag / mlens

#计算机科学#ML-Ensemble – high performance ensemble learning

ensemble-learning 机器学习 ensemble stacking stack Python

Python 851

1 年前

vecxoz / vecstack

#计算机科学#Python package for stacking (machine learning technique)

stacking ensemble ensemble-learning 机器学习

Python 690

7 个月前

yzhao062 / combo

#计算机科学#(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

机器学习 data-mining 数据科学 ensemble-learning Python aggregation pipeline-framework

Python 649

2 年前

scikit-learn-contrib / DESlib

A Python library for dynamic classifier and ensemble selection

ensemble-learning diversity

Python 484

1 年前

Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

#计算机科学#Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

机器学习 random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization kmeans intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking catboost ensemble-learning lightgbm

Jupyter Notebook 470

1 年前