AxeldeRomblay / MLBox

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MLBox is a powerful Automated Machine Learning python library.

encoding data-science machine-learning deep-learning pipeline optimization keras regression prediction distributed kaggle xgboost classification lightgbm preprocessing drift automl stacking automated-machine-learning auto-ml

Updated Apr 13, 2020
Python

ClimbsRocks / machineJS

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Open

update documentation to make it stupid easy to get started with

ClimbsRocks commented Mar 20, 2016

installation
example csv header table
list of available header options

do all of this before explaining the benefits, etc.

showing them what it can do is way more powerful than explaining it.

generally simplify documentation

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Error in installation guide

2

Find more good first issues →

Epistimio / orion

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Stacktrace when executing oríon without arguments

2

Thomsch commented Feb 3, 2020

When executing orion without arguments, I get a stacktrace:

~$ orion
Traceback (most recent call last):
  File "/home/thomsch/venv/pycharm/bin/orion", line 10, in <module>
    sys.exit(main())
  File "/home/thomsch/venv/pycharm/lib/python3.7/site-packages/orion/core/cli/__init__.py", line 39, in main
    orion_parser.execute(argv)
  File "/home/thomsch/venv/pycharm/lib/python3.7/site

How to analyse the result

6

negrinho / deep_architect_legacy

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DeepArchitect: Automatically Designing and Training Deep Architectures

machine-learning deep-learning hyperparameter-optimization auto-ml neural-architecture-search architecture-search automatic-machine-learning

Updated Oct 1, 2019
Python

ianwhale / nsga-net

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NSGA-Net, a Neural Architecture Search Algorithm

deep-learning pytorch evolutionary-computation nsga-ii auto-ml neural-architecture-search

Updated Aug 19, 2019
Python

Bisonai / awesome-edge-machine-learning

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A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

iot edge awesome-list pruning quantization auto-ml edge-machine-learning federated-learning embedded-machine-learning mobile-machine-learning efficient-architectures edge-deep-learning

Updated Apr 18, 2020
Python

negrinho / deep_architect

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A general, modular, and programmable architecture search framework

machine-learning deep-neural-networks deep-learning tensorflow pytorch neural-networks colab hyperparameter-optimization auto-ml neural-architecture-search architecture-search automatic-machine-learning colab-notebook

Updated Feb 22, 2020
Python

changlin31 / DNA

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Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

deep-learning pytorch image-classification nas auto-ml neural-architecture-search

Updated Mar 19, 2020
Python

Alex-Lekov / AutoML_Alex

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State-of-the art Automated Machine Learning python library for Tabular Data

python data-science machine-learning sklearn cross-validation ml model-selection xgboost hyperparameter-optimization machine-learning-library hyperparameter-tuning optimisation automl stacking auto-ml machine-learning-models automatic-machine-learning data-science-projects stacking-ensemble

Updated Jun 3, 2020
Python

alxmamaev / sdsj-automl

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Sberbank Data Science Jorney Auto-ML competition

sberbank automl auto-ml

Updated Dec 26, 2018
Python

dlab-berkeley / python-machine-learning

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Introduction to scikit-learn and TPOT

machine-learning clustering scikit-learn regression classification tpot auto-ml

Updated Apr 19, 2019
Jupyter Notebook

astrazeneca-cgr-publications / mantis-ml-release

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mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

machine-learning genomics tensorflow scikit-learn keras auto-ml

Updated May 22, 2020
Python

gilad-rubin / hypster

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HyPSTER - HyperParameter optimization on STERoids

machine-learning hyperparameter-optimization auto-ml

Updated Apr 9, 2020
Python

haihabi / GeneticNAS

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The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utilized weight sharing across all candidate network.

python deep-learning neural-network classification auto-ml