Chainer: A Powerful, Flexible, and Intuitive Framework of Neural Networks Project Website: http://chainer.org/ Github Link: https://github.com/pfnet/chainer Description Chainer is a flexible framework for neural networks. One major goal is flexibility, so it must enable us to write complex architectures simply … Continue reading
Keras: Deep Learning library for Theano and TensorFlow Project Website: http://keras.io/ Github Link: https://github.com/fchollet/keras Description Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was … Continue reading
Lasagne: Lightweight library to build and train neural networks in Theano Project Website: http://lasagne.readthedocs.io/ Github Link: https://github.com/Lasagne/Lasagne Description Lasagne is a lightweight library to build and train neural networks in Theano. Its main features are: Supports feed-forward networks such as … Continue reading
Blocks: A Theano framework for building and training neural networks Project Website: None Github Link: https://github.com/mila-udem/blocks Description Blocks is a framework that helps you build neural network models on top of Theano. Currently it supports and provides: Constructing parametrized Theano … Continue reading
Pylearn2: A machine learning research library Project Website: http://deeplearning.net/software/pylearn2/ Github Link: https://github.com/lisa-lab/pylearn2 Description Pylearn2 is a machine learning library. Most of its functionality is built on top of Theano. This means you can write Pylearn2 plugins (new models, algorithms, etc) … Continue reading
Theano Project Website: http://deeplearning.net/software/theano/ Github Link: https://github.com/Theano/Theano Description Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.ndarray in Theano-compiled functions. transparent … Continue reading