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Frédéric Bastien edited this page Dec 4, 2013
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Please feel free to add to this list!
- Deep Learning Tutorials: A great intro to Theano. There's a companion website.
- Pylearn2: A machine learning library.
- Theano_lgpl: Theano extension that use lgpl code. See that page for a list what is add.
- PyAutoDiff: Automatic differentiation for NumPy code.
- theano-rnn theano-rnn: Recurrent neural network implementation. (2 differents implementations)
- Morb: a modular RBM implementation in Theano
- PyMC 3.0: Bayesian statistical modeling and model fitting which focuses on advanced Markov chain Monte Carlo fitting algorithms.
- MonteTheano: Sampling for directed graphical models, more probability distributions than in Theano itself.
- Ape(status alpha): Theano/MPI bridge witch also try to statically schedule the operation onto heterogeneous hardware.
- Hessian Free: Code to implement Hessian-Free model
- TheanoConv3d2d: A GPU-friendly 3D convolution implementation based on Conv2D.
- Janus: Janus is a tool that allows NumPy and Theano to be used simultaneously with no additional code.
- DeepANN: Deep ANN implementation.
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