#计算机科学#A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
#计算机科学#(Deprecated) Scikit-learn integration package for Apache Spark
#自然语言处理#LAMA - automatic model creation framework
#计算机科学#Automated modeling and machine learning framework FEDOT
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
#计算机科学#An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
#计算机科学#A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Hyperparameter optimization in Julia.
Workflow engine for exploration of simulation models using high throughput computing
⚡ Fast Concurrent / Parallel Sorting in Go
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Selec...
#计算机科学#Alchemy Cat —— 🔥Config System for SOTA
Purely functional genetic algorithms for multi-objective optimisation
Framework of intelligent optimization methods iOpt
#计算机科学#An abstraction layer for parameter tuning
A Python Toolkit for Managing a Large Number of Experiments
Globally Safe Model-free Exploration of Dynamical Systems
#计算机科学#Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear...
A CLI-based tuner that runs multi-objective optimization on your ESPminer.
Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.