keras-team / autokerasLinks
AutoML library for deep learning
☆9,290Updated 2 months ago
Alternatives and similar repositories for autokeras
Users that are interested in autokeras are comparing it to the libraries listed below
Sorting:
- Fast and flexible AutoML with learning guarantees.☆3,460Updated 2 years ago
- Automated Machine Learning with scikit-learn☆8,036Updated last week
- A Hyperparameter Tuning Library for Keras☆2,916Updated last month
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,654Updated last month
- An open source python library for automated feature engineering☆7,597Updated 3 weeks ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,463Updated 3 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,037Updated 4 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,149Updated last month
- TensorFlow-based neural network library☆9,897Updated last week
- TensorFlow's Visualization Toolkit☆7,092Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,605Updated this week
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,139Updated last year
- Low-code framework for building custom LLMs, neural networks, and other AI models☆11,644Updated this week
- PlaidML is a framework for making deep learning work everywhere.☆4,587Updated 2 years ago
- Visualizations for machine learning datasets☆7,374Updated 2 years ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,335Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆8,954Updated 6 months ago
- A system for quickly generating training data with weak supervision☆5,936Updated last year
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,075Updated last month
- Lime: Explaining the predictions of any machine learning classifier☆12,089Updated last year
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,402Updated last week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 2 weeks ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,704Updated 2 years ago
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,515Updated last year
- Neural network visualization toolkit for keras☆2,994Updated 3 years ago
- Trax — Deep Learning with Clear Code and Speed☆8,302Updated 3 months ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,176Updated 3 years ago
- MLBox is a powerful Automated Machine Learning python library.☆1,525Updated 2 years ago
- Hyperparameter Experiments with TensorFlow and Keras☆1,638Updated last year
- Fit interpretable models. Explain blackbox machine learning.☆6,768Updated 2 weeks ago