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The Top 23 Hyperparameter Tuning Open Source Projects

Open source projects categorized as Hyperparameter Tuning
Categories > Machine Learning > Hyperparameter Tuning
Easyopt ⭐ 9
zero-code hyperparameters optimization framework
most recent commit 3 months ago
Pytorch Rnn Tutorial ⭐ 9
PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
most recent commit a year ago
Volkstuner ⭐ 9
An easy to use hyperparameter tuner
most recent commit 3 years ago
Neuralnetstudio ⭐ 8
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
most recent commit 2 years ago
Ulmfit_es ⭐ 8
most recent commit 5 years ago
Automl Resources ⭐ 8
A list of resources, papers, and articles on AutoML, Automatic Hyperparameter Tuning, and Neural Architecture Search.
most recent commit 5 years ago
Py Hyperpy ⭐ 8
HyperaPy: An automatic hyperparameter optimization framework ⚡🚀
total releases 5most recent commit 2 years ago
Deep Learning Specialization ⭐ 8
This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai
most recent commit 4 years ago
Hyperparameter Tuning In Matlab Using Experiment Manager And Tensorflow ⭐ 7
This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.
most recent commit 2 years ago
Neuro Evolution ⭐ 7
Wrapper for neural evolution approach for hyperparameter tuning
most recent commit 5 years ago
Data Science Portfolio ⭐ 7
Data Science Portfolio created for academic and personal projects.
most recent commit a year ago
Duet ⭐ 7
Duet: A Language for Differential Privacy
most recent commit 5 years ago
Coursera Deep Learning Specialization ⭐ 7
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks..
most recent commit a year ago
Guesemha ⭐ 7
A multiprocess MATLAB toolbox for parallel hyperparamater tuning for Machine Learning applications
most recent commit 2 years ago
Mlopt ⭐ 6
Optimization algorithms for Machine Learning problems like Hyperparameter tuning and Ensembling.
most recent commit 4 years ago
Predicting Indian Stocks Price With Stacked Lstm ⭐ 6
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
most recent commit 7 months ago
Spark Hpopt ⭐ 6
Bayesian hyperparamter tuning for Spark MLLib
most recent commit 3 years ago
Amazon Alexa Reviews ⭐ 6
Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning
most recent commit 5 years ago
Diaml ⭐ 6
Semi-automated machine learning pipelines
total releases 1most recent commit 6 years ago
Mithridates ⭐ 5
Measure and Boost Backdoor Robustness
most recent commit 9 months ago
Neurosymbolic Tinyml ⭐ 5
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
most recent commit a year ago
Personal Bank Loan Modeling Classification Analysis ⭐ 5
Supervised Machine Learning Analysis Using Classification Models
most recent commit 9 months ago
Cakeopt ⭐ 5
CakeOpt is a Bayesian optimisation package written in Python.
most recent commit 2 years ago
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