All Projects → Neuraxle → Similar Projects or Alternatives

2148 Open source projects that are alternatives of or similar to Neuraxle

Hyperparameter hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+71.88%)
Auto Sklearn
Automated Machine Learning with scikit-learn
Stars: ✭ 5,916 (+1469.23%)
Scikit Optimize
Sequential model-based optimization with a `scipy.optimize` interface
Stars: ✭ 2,258 (+498.94%)
Lale
Library for Semi-Automated Data Science
Stars: ✭ 198 (-47.48%)
polystores
A library for performing hyperparameter optimization
Stars: ✭ 48 (-87.27%)
scikit-hyperband
A scikit-learn compatible implementation of hyperband
Stars: ✭ 68 (-81.96%)
Determined
Determined: Deep Learning Training Platform
Stars: ✭ 1,171 (+210.61%)
Rl Baselines3 Zoo
A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.
Stars: ✭ 161 (-57.29%)
Coursera Deep Learning Specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Stars: ✭ 188 (-50.13%)
Auto ml
[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+313.53%)
Hyperactive
A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
Stars: ✭ 182 (-51.72%)
Setl
A simple Spark-powered ETL framework that just works 🍺
Stars: ✭ 79 (-79.05%)
Mutual labels:  pipeline, framework
Rush
A cross-platform command-line tool for executing jobs in parallel
Stars: ✭ 421 (+11.67%)
Mutual labels:  parallel, pipeline
Smac3
Sequential Model-based Algorithm Configuration
Stars: ✭ 564 (+49.6%)
Rl Baselines Zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Stars: ✭ 839 (+122.55%)
Milano
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Stars: ✭ 140 (-62.86%)
Hyperopt Keras Cnn Cifar 100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Stars: ✭ 95 (-74.8%)
Pipelines
An experimental programming language for data flow
Stars: ✭ 354 (-6.1%)
Mutual labels:  parallel, pipeline
Tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+2122.28%)
Data Science Complete Tutorial
For extensive instructor led learning
Stars: ✭ 1,027 (+172.41%)
Mutual labels:  pipeline, scikit-learn
Bodywork Core
Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀
Stars: ✭ 145 (-61.54%)
Mutual labels:  pipeline, framework
nemesyst
Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.
Stars: ✭ 17 (-95.49%)
Mutual labels:  pipeline, parallel
Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Stars: ✭ 221 (-41.38%)
mlr3tuning
Hyperparameter optimization package of the mlr3 ecosystem
Stars: ✭ 44 (-88.33%)
naturalselection
A general-purpose pythonic genetic algorithm.
Stars: ✭ 17 (-95.49%)
skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Stars: ✭ 22 (-94.16%)
reskit
A library for creating and curating reproducible pipelines for scientific and industrial machine learning
Stars: ✭ 27 (-92.84%)
Mutual labels:  pipeline, scikit-learn
maggy
Distribution transparent Machine Learning experiments on Apache Spark
Stars: ✭ 83 (-77.98%)
Hyperband
Tuning hyperparams fast with Hyperband
Stars: ✭ 555 (+47.21%)
Hyperparameter Optimization Of Machine Learning Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Stars: ✭ 516 (+36.87%)
Mgo
Purely functional genetic algorithms for multi-objective optimisation
Stars: ✭ 63 (-83.29%)
Pbt
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Stars: ✭ 138 (-63.4%)
Automl alex
State-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (-64.99%)
Auptimizer
An automatic ML model optimization tool.
Stars: ✭ 166 (-55.97%)
optuna-examples
Examples for https://github.com/optuna/optuna
Stars: ✭ 238 (-36.87%)
The Deep Learning With Keras Workshop
An Interactive Approach to Understanding Deep Learning with Keras
Stars: ✭ 34 (-90.98%)
Mljar Supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+154.91%)
Xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Stars: ✭ 1,255 (+232.89%)
Tune Sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Stars: ✭ 241 (-36.07%)
swarmci
Swarm CI - Docker Swarm-based CI system or enhancement to existing systems.
Stars: ✭ 48 (-87.27%)
Mutual labels:  pipeline, parallel
bbopt
Black box hyperparameter optimization made easy.
Stars: ✭ 66 (-82.49%)
skippa
SciKIt-learn Pipeline in PAndas
Stars: ✭ 33 (-91.25%)
Mutual labels:  pipeline, scikit-learn
Ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Stars: ✭ 18,547 (+4819.63%)
Bedops
🔬 BEDOPS: high-performance genomic feature operations
Stars: ✭ 215 (-42.97%)
Mutual labels:  parallel, pipeline
Sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Stars: ✭ 289 (-23.34%)
Rangeless
c++ LINQ -like library of higher-order functions for data manipulation
Stars: ✭ 148 (-60.74%)
Mutual labels:  parallel, pipeline
cli
Polyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-95.23%)
mango
Parallel Hyperparameter Tuning in Python
Stars: ✭ 241 (-36.07%)
differential-privacy-bayesian-optimization
This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
Stars: ✭ 22 (-94.16%)
Nimble
Stars: ✭ 121 (-67.9%)
Mutual labels:  parallel, framework
syne-tune
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
Stars: ✭ 105 (-72.15%)
osprey
🦅Hyperparameter optimization for machine learning pipelines 🦅
Stars: ✭ 71 (-81.17%)
Optuna
A hyperparameter optimization framework
Stars: ✭ 5,679 (+1406.37%)
mltb
Machine Learning Tool Box
Stars: ✭ 25 (-93.37%)
mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Stars: ✭ 34 (-90.98%)
Autogluon
AutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+939.79%)
Fbt
A JavaScript Internationalization Framework
Stars: ✭ 3,668 (+872.94%)
Mutual labels:  framework
Asyncenumerable
Defines IAsyncEnumerable, IAsyncEnumerator, ForEachAsync(), ParallelForEachAsync(), and other useful stuff to use with async-await
Stars: ✭ 367 (-2.65%)
Mutual labels:  parallel
Objection
📱 objection - runtime mobile exploration
Stars: ✭ 4,404 (+1068.17%)
Mutual labels:  framework
Gzipswift
Swift framework that enables gzip/gunzip Data using zlib
Stars: ✭ 356 (-5.57%)
Mutual labels:  framework
1-60 of 2148 similar projects