miraiml
Machine Learning Engine
An asynchronous engine for continuous and autonomous machine learning
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
26 stars
5 watching
8 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list
data-sciencehyperparameter-optimizationmachine-learningpython
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ryuk17/machinelearning | This is a collection of machine learning algorithms implemented in Python 3.6. | 103 |
 dask/dask-ml | A Python library for scalable machine learning using Dask alongside popular ML libraries | 907 |
 pouyamghari/pof-mkl | An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning | 0 |
 lehy/ocaml-sklearn | Enables machine learning with scikit-learn in OCaml | 34 |
 benhamner/machinelearning.jl | A Julia library providing a consistent API for common machine learning algorithms | 116 |
 okerew/okrolearn | A Python machine learning library providing efficient array operations and neural network functionality | 3 |
 shimengjie/machine-learning-andrew-ng | An implementation of machine learning algorithms from Andrew Ng's Coursera course in MATLAB | 182 |
 antoniogarrote/clj-ml | A Clojure library for machine learning built on top of Weka and friends | 148 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
 open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,196 |
 mikecmpbll/rann | Provides objects and algorithms for designing, processing and training Artificial Neural Networks in Ruby. | 3 |
 jvalegre/robert | Automated machine learning protocols for cheminformatics using Python | 39 |
 pku-dair/mindware | An efficient AutoML system that automates the machine learning lifecycle | 53 |
 isekai-portal/link-context-learning | An implementation of a multimodal learning approach to improve language models' ability to recognize unseen images and understand novel concepts. | 91 |
 aunum/goro | A high-level machine learning library built on Gorgonia for Go that aims to provide an easy-to-use interface for building and training neural networks. | 373 |