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Search results for python hyperparameters
hyperparameters
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python
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24 search results found
Mljar Supervised
⭐
2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Scikit Optimize
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2,700
Sequential model-based optimization with a `scipy.optimize` interface
Rl Baselines Zoo
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1,025
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Recsys2019_deeplearning_evaluation
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871
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.
Neuraxle
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533
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.
Hyperband
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515
Tuning hyperparams fast with Hyperband
Sklearn Genetic Opt
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236
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Hparams
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126
Configure Python functions explicitly and safely
Pbt
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122
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Keras Cloud Ml Engine
⭐
106
Adventures using keras on Google's Cloud ML Engine
Mlblocks
⭐
105
A library for composing end-to-end tunable machine learning pipelines.
Deepcave
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58
An interactive framework to visualize and analyze your AutoML process in real-time.
Picard
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52
Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
Minos
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51
Deep learning, architecture and hyper parameters search with genetic algorithms
Anchor Boxes With Kmeans
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48
How to initialize Anchors in Faster RCNN for custom dataset?
Forecastveg
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34
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
Autoopt
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32
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
Allennlp Optuna
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30
⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy
Zookeeper
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22
A small library for managing deep learning models, hyperparameters and datasets
Stocbio
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19
Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
Hpoflow
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17
Tools for Optuna, MLflow and the integration of both.
Learning Rates
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17
How optimizer and learning rate choice affects training performance
Proxgradpytorch
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15
PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
Optkeras
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14
OptKeras: wrapper around Keras and Optuna for hyperparameter optimization
Scikit Nni
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12
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
Cat_mouse_continuous_rl
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10
Using DDPG and A2C reinforcement learning algorithms to solve a math puzzle
Hypernomad
⭐
10
A library for the hyperparameter optimization of deep neural networks
Dropout Vs Batch Normalization
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8
Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper
Neptune Optuna
⭐
8
🚀 Optuna visualization dashboard that lets you log and monitor hyperparameter sweep live.
Mrvrbo
⭐
7
Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
Fluentopt
⭐
6
A flexible hyper-parameter optimization library for machine learning
Argload
⭐
6
Argload, easy reloading of command line arguments
Asreview Hyperopt
⭐
5
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
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