Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for machine learning model selection
machine-learning
x
model-selection
x
37 search results found
Ray
⭐
29,596
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Tpot
⭐
9,701
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Yellowbrick
⭐
4,102
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Sgx Full Orderbook Tick Data Trading Strategy
⭐
1,151
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Autodl
⭐
999
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Lightautoml
⭐
769
LAMA - automatic model creation framework
Evalml
⭐
679
EvalML is an AutoML library written in python.
Smartcore
⭐
600
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
Facet
⭐
483
Human-explainable AI.
Hyperactive
⭐
475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Automl Implementation For Static And Dynamic Data Analytics
⭐
443
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
My Data Competition Experience
⭐
271
本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢
Sklearn Genetic Opt
⭐
236
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Tscv
⭐
226
Time Series Cross-Validation -- an extension for scikit-learn
Automl_alex
⭐
171
State-of-the art Automated Machine Learning python library for Tabular Data
Tpot2
⭐
118
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Pathpy
⭐
102
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
Sl3
⭐
98
💪 🤔 Modern Super Learning with Machine Learning Pipelines
Metriculous
⭐
94
Measure and visualize machine learning model performance without the usual boilerplate.
Hyper Engine
⭐
69
Python library for Bayesian hyper-parameters optimization
Sklearndf
⭐
59
DataFrame support for scikit-learn.
Machine Learning
⭐
41
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
Tsad Model Selection
⭐
32
Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.
Fluidml
⭐
19
FluidML is a lightweight framework for developing machine learning pipelines.
Skrobot
⭐
19
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Campaign Critic
⭐
16
A web app that helps Kickstarter creators increase their chances of being funded
Cascade
⭐
15
Lightweight and modular MLOps library targeted at small teams or individuals
Mdl Complexity
⭐
15
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
Msad
⭐
13
Model Selection for Anomaly Detection in Time Series
Genetics
⭐
11
Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning
Sharplearning.examples
⭐
10
Code examples for SharpLearning
Pythonbrmltoolbox
⭐
10
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Home Credit Default Risk
⭐
9
Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)
Parc
⭐
7
A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.
Metatune
⭐
6
Search for a model and corresponding hyperparameters that best model your data
Spark Hpopt
⭐
6
Bayesian hyperparamter tuning for Spark MLLib
Ciams
⭐
6
A toolkit for automatically selecting a suitable classification model along with an assessment of how hard or easy to learn a classifier on the given dataset.
Modelcreator
⭐
5
Simple python package for creating predictive models
Related Searches
Python Machine Learning (17,704)
Jupyter Notebook Machine Learning (12,247)
Machine Learning Neural Network (4,361)
Machine Learning Artificial Intelligence (3,823)
Machine Learning Data Science (3,535)
Machine Learning Natural Language Processing (2,987)
Machine Learning Tensorflow (2,982)
Machine Learning Dataset (2,122)
Machine Learning Classification (2,093)
Machine Learning Pytorch (2,014)
1-37 of 37 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2025 Awesome Open Source. All rights reserved.