itdxer / neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
☆738Updated 3 months ago
Alternatives and similar repositories for neupy:
Users that are interested in neupy are comparing it to the libraries listed below
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆877Updated 4 years ago
- Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.☆1,206Updated 4 years ago
- Combines the ease of use of scikit-learn with the power of Theano/Lasagne☆951Updated last year
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆772Updated last year
- Pretty Tensor: Fluent Networks in TensorFlow☆1,233Updated 4 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,391Updated 7 years ago
- 🎯 A comprehensive gradient-free optimization framework written in Python☆575Updated 5 years ago
- NumPy interface with mixed backend execution☆1,107Updated 7 years ago
- Genetic neural architecture search with Keras☆949Updated last year
- Simple, realtime visualization of neural network training performance.☆421Updated 7 years ago
- Bayesian Python: Bayesian inference tools for Python☆693Updated 4 months ago
- Boltzmann Machines in TensorFlow with examples☆849Updated 3 years ago
- A highly extensible deep learning framework☆423Updated 7 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆516Updated 3 years ago
- Data sets for machine learning in Python☆474Updated 7 years ago
- Open source time series library for Python☆2,116Updated last year
- A data pipeline framework for machine learning☆870Updated 2 years ago
- A CNN visualizer☆1,005Updated 6 years ago
- Restricted Boltzmann Machines in Python.☆960Updated 4 years ago
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,270Updated 6 years ago
- Pyevolve☆314Updated 3 years ago
- Spearmint Bayesian optimization codebase☆1,552Updated 5 years ago
- Machine Learning on Sequential Data Using a Recurrent Weighted Average☆601Updated 4 years ago
- Experimental Global Optimization Algorithm☆481Updated 7 years ago
- optimization routines for hyperparameter tuning☆418Updated last year
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,176Updated 3 years ago
- Sequence learning toolkit for Python☆693Updated last year
- Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.☆354Updated last month
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆501Updated 3 years ago
- Machine Learning toolbox for Humans☆691Updated 6 months ago