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27 search results found

D2l En ⭐ 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.

Wandb ⭐ 8,204

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Keras Tuner ⭐ 2,795

A Hyperparameter Tuning Library for Keras

Determined ⭐ 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.

Hyperas ⭐ 2,147

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Talos ⭐ 1,596

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

Test Tube ⭐ 719

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Hyperband ⭐ 515

Tuning hyperparams fast with Hyperband

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Hypernets ⭐ 256

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Deephyper ⭐ 253

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Deep_architect ⭐ 98

A general, modular, and programmable architecture search framework

Metadata store for Production ML

Hyperopt Keras Cnn Cifar 100 ⭐ 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.

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Keras Hypetune ⭐ 33

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

Cerebros Core Algorithm Alpha ⭐ 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.

Machine Learning Tool Box

Spotify_song_recommender ⭐ 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.

Textlearnr ⭐ 16

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP

Optkeras ⭐ 14

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

Machine learning's parameter search and feature selection module which is integrated log management and visualization.

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