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Search results for tensorflow hyperparameter optimization
hyperparameter-optimization
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28 search results found
Ray
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29,596
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
D2l En
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21,912
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Nni
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13,725
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Wandb
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8,204
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Polyaxon
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3,438
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Keras Tuner
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2,795
A Hyperparameter Tuning Library for Keras
Determined
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2,715
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Talos
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1,596
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Auto_ml
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1,442
[UNMAINTAINED] Automated machine learning for analytics & production
Test Tube
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719
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Awesome Automl And Lightweight Models
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647
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Deephyper
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253
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Hyperts
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225
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Deeplearning Notes
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194
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Far Ho
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133
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
Deep_architect
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98
A general, modular, and programmable architecture search framework
Sdk
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89
Metadata store for Production ML
Hyperopt Keras Cnn Cifar 100
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87
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Hyper Engine
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69
Python library for Bayesian hyper-parameters optimization
Keras Hypetune
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33
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
Cerebros Core Algorithm Alpha
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26
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
Mltb
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25
Machine Learning Tool Box
Spotify_song_recommender
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24
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
Tf Hypergrad
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20
simple example of gradient-based hyperparameter optimization using tensorflow
Pinky
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19
Deep learning toolbox for earthquake localization and detection
Cli
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19
Polyaxon Core Client & CLI to streamline MLOps
Bore
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16
Bayesian Optimization with Density-Ratio Estimation
Studio
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14
GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP
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1-28 of 28 search results
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