hyperparameters

There are 5 repositories under hyperparameters topic.

tobegit3hub / advisor
Open-source implementation of Google Vizier for hyper parameters tuning
ml dl hyperparameters optimization blackbox algorithm tunning automl
Language:Jupyter Notebook 1540
rl-baselines-zoo
araffin / rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
rl zoo reinforcement-learning stable-baselines openai-gym openai gym pybullet hyperparameters optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning
Language:Python 1113
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.
recommender-system recommendation-system recommendation-algorithms deep-learning evaluation-framework neural-network collaborative-filtering content-based-recommendation hybrid-recommender-system reproducibility reproducible-research knn matrix-factorization matrix-completion bpr bprmf bprslim funksvd slimelasticnet hyperparameters
Language:Python 984
Neuraxle
Neuraxio / Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
pipeline pipeline-framework machine-learning deep-learning framework python-library hyperparameter-optimization hyperparameter-tuning hyperparameter-search hyperparameters scikit-learn parallel neuraxle
Language:Python 599
zygmuntz / hyperband
Tuning hyperparams fast with Hyperband
hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting machine-learning
Language:Python 588
rodrigo-arenas / Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
python scikit-learn machine-learning artificial-intelligence hyperparameters deap looking-for-contributors model-selection hyperparameter-optimization automl begginer-friendly evolutionary-algorithms contributions-welcome help-wanted good-first-issue goodfirstissue sklearn up-for-grabs featureselection feature-selection
Language:Python 275
gyrdym / ml_algo
Machine learning algorithms in Dart programming language
dartlang dart machine-learning linear-regression sgd stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent machine-learning-algorithms algorithm lasso-regression logistic-regression softmax softmax-regression softmax-classifier softmax-algorithm regression hyperparameters data-science classifier
Language:Dart 177
MattKleinsmith / pbt
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
pbt hyperparameters population-based-training deep-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search deepmind
Language:Python 164
openmole / openmole
Workflow engine for exploration of simulation models using high throughput computing
scala workflow modeling-tool distributed-computing parameter-search scientific-computing workflow-engine grid parameter-tuning parameter-estimation egi dirac hyperparameters
Language:Scala 140
HParams
PetrochukM / HParams
Configure Python functions explicitly and safely
configuration deep-learning hyperparameters machine-learning python python3
Language:Python 125
MLBazaar / MLBlocks
A library for composing end-to-end tunable machine learning pipelines.
machine-learning hyperparameters pipelines primitives
Language:Python 111
seba-1511 / randopt
Streamlined machine learning experiment management.
visualization hyperparameter-optimization hyperparameters experiments
Language:HTML 106
clintonreece / keras-cloud-ml-engine
Adventures using keras on Google's Cloud ML Engine
google-cloud hyperparameters keras mnist
Language:Python 105
joydeepmedhi / Anchor-Boxes-with-KMeans
How to initialize Anchors in Faster RCNN for custom dataset?
faster-rcnn object-detection tensorflow-models computer-vision python anchor-box kmeans anchor aspect-ratio iou custom-dataset detection bounding-boxes hyperparameters clusters distance-metric
Language:Jupyter Notebook 90
openmole / mgo
Purely functional genetic algorithms for multi-objective optimisation
genetic-algorithm scala optimisation functional-programming parameter-tuning hyperparameter-optimization hyperparameters hyperparameter-tuning
Language:Scala 71
DeepCAVE
automl / DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.
automl iml visualization analysis interactive real-time hyperparameters hyperparameter-importance sampling-bias
Language:Python 63
atanasster / hyperparameters
ES6 hyperparameters search for tfjs
hyperparameters hyperopt tensorflow tfjs es6 javascript tensorflowjs
Language:JavaScript 60
KennethanCeyer / awesome-llm
Awesome series for Large Language Model(LLM)s
awesome awesome-list large-language-models llm ml nlp ai chatgpt gpt machine-learning natural-language-processing bert hyperparameters t5 gpt3 openai bard
60
keplr-io / picard
Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
deep-learning hyperparameters neural-network
Language:Python 52
guybedo / minos
Deep learning, architecture and hyper parameters search with genetic algorithms
deep-learning genetic-algorithm hyperparameters keras-models python tensorflow
Language:Python 51
KSpiliop / Fraud_Detection
Tuning XGBoost hyper-parameters with Simulated Annealing
xgboost xgboost-parameters hyperparameters fraud-detection tuning xgboost-algorithm
Language:Jupyter Notebook 51
JohnNay / forecastVeg
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
machine-learning h2o landuse gbm satellite-imagery vegetation-health modis drought prediction forecasting artificial-intelligence python hyperparameters ensemble-model ensemble r
Language:Python 45
eBay / AutoOpt
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
machine-learning optimization pytorch sgd learning-rate momentum hyperparameters
Language:Python 44
himkt / allennlp-optuna
⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy
optuna jsonnet hyperparameters allennlp allennlp-subcommand hyperparameter-optimization
Language:Python 32
eHarmony / spotz
Spark Parameter Optimization and Tuning
hyperparameter-optimization spark optimizer optimization-algorithms machine-learning machinelearning hyperparameter-tuning hyperparameters grid-search random-search vowpal-wabbit
Language:Scala 31
optkeras
Minyus / optkeras
OptKeras: wrapper around Keras and Optuna for hyperparameter optimization
keras optuna hyperparameter-optimization hyperparameters deep deep-learning neural-network
Language:Python 29
FluxML / ParameterSchedulers.jl
Common hyperparameter scheduling for ML
machine-learning flux optimization hyperparameters
Language:Julia 28
mlr-org / paradox
ParamHelpers Next Generation
mlr3 hyperparameters experimental-design transformations r r-package
Language:R 27
reiase / hyperparameter
Hyperparameter, Make configurable AI applications.Build for Python hackers.
machine-learning deep-learning data-science hyperparameters hyperparameters-optimization hyperparameters-tuning
Language:Rust 23
ksachdeva / scikit-nni
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
automl hyperparameter-search hyperparameters neural-network-intelligence nni scikit-learn scikit-learn-api sklearn sklearn-library tool
Language:Python 22
ahirsharan / MTL-Segmentation
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
coco dice-loss fewshot fewshot-learning hyperparameters learning-rate meta-train meta-transfer-learning mtl mtl-segmentation python pytorch segmentation semantic-segmentation shot-learning unet unet-image-segmentation unet-pytorch
Language:Python 21
Octavian-ai / learning-rates
How optimizer and learning rate choice affects training performance
ai learning-rate deep-learning hyperparameters optimizer
Language:Python 21
bbopt / HyperNOMAD
A library for the hyperparameter optimization of deep neural networks
hyperparameters deep-neural-networks optimization categorical-variables neural-architecture-search hyperparameter-optimization nomad pytorch python blackbox-optimization hyperparameter-tuning
Language:C++ 19
rohan-varma / neuralnets
🤖 bare-bones implementation of a neural network with numpy
neural-network hyperparameters momentum
Language:Jupyter Notebook 16
andreacasalino / GaussianProcesses
Modern C++ library handling gaussian processes
cpp cpp17 eigen gaussian gaussian-distribution gaussian-process-regression gaussian-processes hyperparameter-optimization hyperparameters training
Language:C++ 11
mbiparva / ax-bo-image-classification
Hyperpatameter Bayesian Optimization for Image Classification in PyTorch
pytorch botorch gpytorch ax-parametrization hyperparameters image-classification configuration-hyperparameters adaptive-experimentation-platform
Language:Python 11