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hyperparameters

Here are 86 public repositories matching this topic...

tobegit3hub / advisor

Open-source implementation of Google Vizier for hyper parameters tuning

algorithm optimization ml hyperparameters tunning dl blackbox automl

Updated Nov 11, 2019
Jupyter Notebook

rl-baselines-zoo

araffin / rl-baselines-zoo

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 Feb 6, 2021
Python

MaurizioFD / RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

deep-learning neural-network reproducible-research collaborative-filtering matrix-factorization hyperparameters bpr recommendation-system recommender-system reproducibility recommendation-algorithms knn matrix-completion evaluation-framework content-based-recommendation hybrid-recommender-system funksvd bprmf bprslim slimelasticnet

Updated Nov 6, 2021
Python

zygmuntz / hyperband

Tuning hyperparams fast with Hyperband

machine-learning hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting

Updated Aug 15, 2018
Python

Neuraxle

Neuraxio / Neuraxle

Open

Code Style: Improve Code Style

1

guillaume-chevalier commented Jun 28, 2021

Describe the bug
Code could be more conform to pep8 and so forth.

To Reproduce
https://app.codacy.com/gh/Neuraxio/Neuraxle/issues?&filters=W3siaWQiOiJMYW5ndWFnZSIsInZhbHVlcyI6W119LHsiaWQiOiJDYXRlZ29yeSIsInZhbHVlcyI6WyJDb2RlU3R5bGUiXX0seyJpZCI6IkxldmVsIiwidmFsdWVzIjpbXX0seyJpZCI6IlBhdHRlcm4iLCJ2YWx1ZXMiOltdfSx7ImlkIjoiQXV0aG9yIiwidmFsdWVzIjpbXX1d

Expected behavior
Less code st

Read more

good first issue invalid documentation

Open

Bug: Non-Parent Inits called

Open

Feature: HyperparametersSamples print in AutoML should exclude steps with no hyperparameter.

Find more good first issues

MattKleinsmith / pbt

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

openmole / openmole

Workflow engine for exploration of simulation models using high throughput computing

workflow scala grid workflow-engine distributed-computing hyperparameters scientific-computing parameter-estimation modeling-tool parameter-search egi parameter-tuning dirac

Updated Dec 16, 2021
Scala

HParams

PetrochukM / HParams

A thoughtful approach to hyperparameter management.

python machine-learning deep-learning tensorflow python3 pytorch hyperparameters hparams

Updated Oct 30, 2020
Python

seba-1511 / randopt

Streamlined machine learning experiment management.

visualization hyperparameters hyperparameter-optimization experiments

Updated Apr 27, 2020
HTML

clintonreece / keras-cloud-ml-engine

Adventures using keras on Google's Cloud ML Engine

keras google-cloud hyperparameters mnist

Updated May 18, 2017
Python

MLBazaar / MLBlocks

Open

Implement Save/Load using pickle

csala commented Jan 28, 2020

Current save/load methods focus on dumping and loading the pipeline definition in its JSON form, but provide no means to save a fitted pipeline and load it later to make predictions, being the usage of pickle outside of the pipeline the only way to go.

Let's re-implement the save/load methods to save the whole pipeline instance, and move the current save functionality to a to_json method.

Read more

new feature good first issue

gyrdym / ml_algo

Sponsor

Machine learning algorithms in Dart programming language

dart classifier data-science machine-learning algorithm linear-regression machine-learning-algorithms regression hyperparameters sgd logistic-regression softmax-regression dartlang stochastic-gradient-descent softmax lasso-regression batch-gradient-descent mini-batch-gradient-descent softmax-classifier softmax-algorithm

Updated Sep 19, 2021
Dart

joydeepmedhi / Anchor-Boxes-with-KMeans

How to initialize Anchors in Faster RCNN for custom dataset?

python computer-vision aspect-ratio detection hyperparameters anchor faster-rcnn object-detection kmeans clusters distance-metric bounding-boxes tensorflow-models iou custom-dataset anchor-box

Updated Aug 18, 2020
Jupyter Notebook

rodrigo-arenas / Sklearn-genetic-opt

Open

[Feature] Parallel Coordinates plot

13

rodrigo-arenas commented Jun 22, 2021

Is your feature request related to a problem? Please describe.
NA

Describe the solution you'd like
Implement in the sklearn_genetic.plots module a function named plot_parallel_coordinates to inspect the results of the learning process

Describe alternatives you've considered
The function should take two arguments:

estimator: A fitted estimator from `sklearn_genetic.G

Read more

help wanted good first issue new feature up-for-grabs

openmole / mgo

Purely functional genetic algorithms for multi-objective optimisation

scala functional-programming genetic-algorithm hyperparameters hyperparameter-optimization hyperparameter-tuning optimisation parameter-tuning

Updated Nov 8, 2021
Scala

keplr-io / picard

Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.

deep-learning neural-network hyperparameters

Updated Feb 6, 2017
Python

atanasster / hyperparameters

ES6 hyperparameters search for tfjs

javascript es6 tensorflow hyperparameters hyperopt tensorflowjs tfjs

Updated Sep 18, 2020
JavaScript

guybedo / minos

Deep learning, architecture and hyper parameters search with genetic algorithms

python deep-learning tensorflow genetic-algorithm hyperparameters keras-models

Updated Dec 6, 2020
Python

eBay / AutoOpt

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent

machine-learning optimization pytorch hyperparameters sgd momentum learning-rate

Updated Aug 4, 2020
Python

KSpiliop / Fraud_Detection

Tuning XGBoost hyper-parameters with Simulated Annealing

hyperparameters tuning xgboost fraud-detection xgboost-parameters xgboost-algorithm

Updated Apr 26, 2017
Jupyter Notebook

JohnNay / forecastVeg

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

python machine-learning r h2o prediction artificial-intelligence hyperparameters forecasting gbm ensemble satellite-imagery modis drought ensemble-model landuse vegetation-health

Updated Feb 22, 2021
Python

eHarmony / spotz

Spark Parameter Optimization and Tuning

machine-learning spark optimizer hyperparameters hyperparameter-optimization machinelearning vowpal-wabbit grid-search hyperparameter-tuning random-search optimization-algorithms

Updated Apr 11, 2018
Scala

himkt / allennlp-optuna

Sponsor

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

hyperparameters hyperparameter-optimization jsonnet allennlp optuna allennlp-subcommand

Updated Nov 23, 2021
Python

optkeras

Minyus / optkeras

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

deep-learning neural-network keras deep hyperparameters hyperparameter-optimization optuna

Updated Apr 1, 2020
Python

mlr-org / paradox

Sponsor

ParamHelpers Next Generation

r transformations hyperparameters r-package experimental-design mlr3

Updated Dec 7, 2021
R

ksachdeva / scikit-nni

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

tool scikit-learn sklearn hyperparameters automl scikit-learn-api hyperparameter-search sklearn-library nni neural-network-intelligence

Updated Oct 21, 2021
Python

Octavian-ai / learning-rates

How optimizer and learning rate choice affects training performance

ai deep-learning optimizer hyperparameters learning-rate

Updated Apr 12, 2018
Python

rohan-varma / neuralnets

🤖 bare-bones implementation of a neural network with numpy

neural-network hyperparameters momentum

Updated Jan 4, 2019
Jupyter Notebook

darsnack / ParameterSchedulers.jl

Common hyperparameter scheduling for ML

flux machine-learning optimization hyperparameters

Updated Sep 4, 2021
Julia

declanoller / cat_mouse_continuous_RL

Using DDPG and A2C reinforcement learning algorithms to solve a math puzzle

reinforcement-learning ai puzzle deep-learning neural-network artificial-intelligence hyperparameters ddpg actor-critic a2c

Updated Sep 3, 2019
Python

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