GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → arthurpaulino → miraiml

arthurpaulino / miraiml

Licence: MIT license
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

Programming Languages

python
139335 projects - #7 most used programming language
Makefile
30231 projects

Labels

data-sciencemachine-learninghyperparameter-optimization

Projects that are alternatives of or similar to miraiml

optuna-dashboard
Real-time Web Dashboard for Optuna.
Stars: ✭ 240 (+943.48%)
Mutual labels:  hyperparameter-optimization
ProxGradPytorch
PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
Stars: ✭ 28 (+21.74%)
Mutual labels:  hyperparameter-optimization
hone
A shell-friendly hyperparameter search tool inspired by Optuna
Stars: ✭ 17 (-26.09%)
Mutual labels:  hyperparameter-optimization
bbai
Set model hyperparameters using deterministic, exact algorithms.
Stars: ✭ 19 (-17.39%)
Mutual labels:  hyperparameter-optimization
ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
Stars: ✭ 90 (+291.3%)
Mutual labels:  hyperparameter-optimization
keras-hypetune
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
Stars: ✭ 47 (+104.35%)
Mutual labels:  hyperparameter-optimization
shadho
Scalable, structured, dynamically-scheduled hyperparameter optimization.
Stars: ✭ 17 (-26.09%)
Mutual labels:  hyperparameter-optimization
osprey
🦅Hyperparameter optimization for machine learning pipelines 🦅
Stars: ✭ 71 (+208.7%)
Mutual labels:  hyperparameter-optimization
randopt
Streamlined machine learning experiment management.
Stars: ✭ 108 (+369.57%)
Mutual labels:  hyperparameter-optimization
optuna-examples
Examples for https://github.com/optuna/optuna
Stars: ✭ 238 (+934.78%)
Mutual labels:  hyperparameter-optimization
naturalselection
A general-purpose pythonic genetic algorithm.
Stars: ✭ 17 (-26.09%)
Mutual labels:  hyperparameter-optimization
maggy
Distribution transparent Machine Learning experiments on Apache Spark
Stars: ✭ 83 (+260.87%)
Mutual labels:  hyperparameter-optimization
NaiveNASflux.jl
Your local Flux surgeon
Stars: ✭ 20 (-13.04%)
Mutual labels:  hyperparameter-optimization
cli
Polyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-21.74%)
Mutual labels:  hyperparameter-optimization
allennlp-optuna
⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy
Stars: ✭ 33 (+43.48%)
Mutual labels:  hyperparameter-optimization
mango
Parallel Hyperparameter Tuning in Python
Stars: ✭ 241 (+947.83%)
Mutual labels:  hyperparameter-optimization
textlearnR
A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
Stars: ✭ 16 (-30.43%)
Mutual labels:  hyperparameter-optimization
ultraopt
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Stars: ✭ 93 (+304.35%)
Mutual labels:  hyperparameter-optimization
autotune
Autonomous Performance Tuning for Kubernetes !
Stars: ✭ 84 (+265.22%)
Mutual labels:  hyperparameter-optimization
mltb
Machine Learning Tool Box
Stars: ✭ 25 (+8.7%)
Mutual labels:  hyperparameter-optimization
View All Similar Projects ➔

https://github.com/arthurpaulino/miraiml/raw/master/docs/img/MiraiML.svg?sanitize=true

license travis codacy docs pypi pepy

MiraiML

Mirai: future in japanese.

MiraiML is an asynchronous engine for continuous & autonomous machine learning, built for real-time usage.

Usage

  1. Install: $ pip install miraiml
  2. Now, inside a Python environment, you can import the main components:
>>> from miraiml import SearchSpace, Config, Engine

You might want to Read the Docs for a better understanding of MiraiML.

Contributing

Please, follow the guidelines if you want to be part of this project.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].