ray-project / ray

Open

[Placement Group] ray.wait([pg.ready()]) shouldn't warn.

rkooo567 commented Sep 2, 2020

Describe your feature request

Currently, if you run

ray.wait([pg.ready()]), it prints the warning message that the ready task is infeasible. This is an expected behavior, so we should not print warning messages.

Impl Idea

Have a magic number for pg.ready resources (for example, it always re

[Tune] Remove jenkins-only tag from the repo.

Open

Option to surpress large number of actors warning

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automl / auto-sklearn

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Open

Enable Power Transformations

1

mfeurer commented Feb 4, 2019

with the Power Transformer.

TimeSeries Split

19

Open

Avoid costly re-building of pipelines

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wandb / client

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🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

machine-learning reinforcement-learning deep-learning tensorflow keras pytorch hyperparameter-search experiment-track

Updated Sep 1, 2020
Python

araffin / rl-baselines-zoo

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A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

reinforcement-learning optimization openai-gym hyperparameters openai gym hyperparameter-optimization rl zoo hyperparameter-tuning hyperparameter-search pybullet stable-baselines

Updated Aug 4, 2020
Python

determined-ai / determined

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Determined: Deep Learning Training Platform

kubernetes machine-learning deep-learning tensorflow pytorch hyperparameter-optimization hyperparameter-tuning hyperparameter-search distributed-training ml-infrastructure ml-platform

Updated Sep 5, 2020
Go

automl / SMAC3

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Sequential Model-based Algorithm Configuration

configuration hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning hyperparameter-search bayesian-optimisation algorithm-configuration

Updated Sep 7, 2020
Python

PaddlePaddle / PaddleSlim

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PaddleSlim is an open-source library for deep model compression and architecture search.

pruning quantization nas knowledge-distillation evolution-strategy model-compression neural-architecture-search hyperparameter-search autodl

Updated Sep 7, 2020
Python

Neuraxio / Neuraxle

Star

Open

Feature: Integrate with Orion?

guillaume-chevalier commented Mar 29, 2020

Need further investigation.

enhancement good first issue question

Open

Feature: Should we integrate with auto-sklearn?

Open

Feature: Add Neuraxle to MLflow

3

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sherpa-ai / sherpa

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Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

machine-learning deep-learning keras hyperparameter-optimization machine-learning-library bayesian-optimization hyperparameter-tuning hyperparameter-search hyperparameter-grid

Updated Aug 24, 2020
JavaScript

IBM / lale

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Library for Semi-Automated Data Science

python data-science machine-learning scikit-learn artificial-intelligence interoperability hyperparameter-optimization hyperparameter-tuning ibm-research automl automated-machine-learning dataquality hyperparameter-search ibm-research-ai pipeline-tests pipeline-testing

Updated Sep 7, 2020
Python

MattKleinsmith / pbt

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Population Based Training (in PyTorch with sqlite3). Status: Unsupported

deep-learning hyperparameters hyperparameter-optimization deepmind hyperparameter-tuning pbt hyperparameter-search population-based-training

Updated Jan 31, 2018
Python

guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100

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Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

tensorflow keras cnn hyperparameter-optimization hyperopt hyperparameters-optimization hyperparameter-tuning cnn-keras hyperparameter-search