#计算机科学#A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
#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...
#计算机科学#🍊 📊 💡 Orange: Interactive data analysis
Python code for common Machine Learning Algorithms
#自然语言处理#A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
#计算机科学#Practice and tutorial-style notebooks covering wide variety of machine learning techniques
#计算机科学#Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
#计算机科学#A python library for decision tree visualization and model interpretation.
#计算机科学#A collection of research papers on decision, classification and regression trees with implementations.
#计算机科学#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 algor...
#计算机科学#Text Classification Algorithms: A Survey
#计算机科学#A curated list of data mining papers about fraud detection.
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
#计算机科学#This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
#计算机科学#Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
#计算机科学#A curated list of Best Artificial Intelligence Resources
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
#计算机科学#A curated list of gradient boosting research papers with implementations.
#计算机科学#An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)