itdxer / neupyLinks
NeuPy is a Tensorflow based python library for prototyping and building neural networks
☆737Updated 7 months ago
Alternatives and similar repositories for neupy
Users that are interested in neupy are comparing it to the libraries listed below
Sorting:
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆877Updated 4 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 7 years ago
- Open source time series library for Python☆2,128Updated last year
- Genetic neural architecture search with Keras☆949Updated 2 years ago
- Bayesian Python: Bayesian inference tools for Python☆697Updated 8 months ago
- Simple structured learning framework for python☆667Updated 3 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆773Updated last year
- NumPy interface with mixed backend execution☆1,104Updated 7 years ago
- Pretty Tensor: Fluent Networks in TensorFlow☆1,233Updated 5 years ago
- Combines the ease of use of scikit-learn with the power of Theano/Lasagne☆953Updated last year
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.☆1,207Updated 4 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆519Updated 3 years ago
- Data sets for machine learning in Python☆474Updated 7 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆503Updated 3 years ago
- Machine Learning toolbox for Humans☆696Updated 10 months ago
- A garden for scikit-learn compatible trees☆287Updated last year
- Pyevolve☆314Updated 3 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Updated 7 years ago
- Scikit-learn tutorial at SciPy2016☆516Updated 6 years ago
- Machine Learning on Sequential Data Using a Recurrent Weighted Average☆604Updated 5 years ago
- Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.☆488Updated 8 years ago
- Hyper-parameter optimization for sklearn☆1,631Updated 2 months ago
- optimization routines for hyperparameter tuning☆420Updated last year
- A CNN visualizer☆1,002Updated 7 years ago
- Experimental Global Optimization Algorithm☆483Updated 7 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆461Updated last year
- Scikit-learn compatible tools using theano☆363Updated 8 years ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Updated 6 years ago
- Deep Learning Resources and Tutorials using Keras and Lasagne☆424Updated 4 years ago