This list is far from complete. Please feel free to add to this list!

• Synkhronos Extension to Theano for multi-GPU data parallelism
• Theano-MPI Theano-MPI a distributed framework for training models built in Theano based on data-parallelism.
• Platoon Multi-GPU mini-framework for Theano, single node.
• Elephas Distributed Deep Learning with Keras & Spark.

• Amazon GPU images
• Docker container

• DIGITS

• Deep Learning Tutorials: A great intro to Theano. There's a companion website.
• Using convolutional neural nets to detect facial keypoints tutorial
• Bare bones introduction to machine learning

• Lasagne: a lightweight library to build and train neural networks in Theano, with a focus on feed-forward neural networks but there are extensions for RNNs including LSTMs.
  • Lasagne 3rd party extensions and code
• Keras: a minimalist, highly modular neural network library in the spirit of Torch.
• rllab: rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
• Blocks: a framework that helps you build neural network models on top of Theano. Includes RNNs.
• PyMC 3.0: Bayesian statistical modeling and model fitting which focuses on advanced Markov chain Monte Carlo fitting algorithms.
• DeepMedic: or brain lesion segmentation based on a multi-scale 3D Deep Convolutional Neural Network
• sklearn-theano: A sklearn interface for preprocessing using learnt models that use Theano.
• Downhill: Provides algorithms for minimizing scalar loss for Theano functions.
• Theano_lgpl: Theano extension that use lgpl code. See that page for a list what is add.
• Mariana: A machine learning framework that aims at greatly simplifying the writing and handling of neural networks (Especially deep ones).
• Passage: A little library for text analysis with RNNs.
• PyAutoDiff: Automatic differentiation for NumPy code.
• theano-rnn theano-rnn: Recurrent neural network implementation. (2 differents implementations)
• Morb: a modular RBM implementation in Theano
• MonteTheano: Sampling for directed graphical models, more probability distributions than in Theano itself.
• Ape(status alpha): Theano/MPI bridge which will also try to statically schedule the operation onto heterogeneous hardware.
• Crino: a neural-network library based on Theano
• Theanet: Theano based Convolutional Neural Network for image classification with Elastic Distortion & Noising of inputs, Dropout, Maxnorm Regularization, Softmax, Mixture of Gaussians outputs etc.
• Merlin: Merlin is a toolkit for building Deep Neural Network models for statistical parametric speech synthesis.
• Kaldi+PDNN Kaldi+PDNN builds state-of-the-art DNN acoustic models using the open-source Kaldi and PDNN toolkits
• theano-lstm
• Plato: A simplified API and deep learning library built on top of Theano. Includes MLPs, RBMs, Deep Belief Nets, LSTMs, Variational Autoencoders, Difference Target Prop, etc. Tutorial
• OpenDeep a Torch-like modular framework built on Theano with included models for CNNs, RBMs, RNNs, GSNs, LSTMs and more coming. Current status of the software is alpha.
• nnet-ts Neural network architecture for time series forecasting.
• pyfolio A Python library for performance and risk analysis of financial portfolios (use PyMC3 that use Theano)
• tmetrics A collections of metrics and loss functions written in Theano
• pymanopt Manifold optimization using Theano for gradient (and Hessian) calculations, and code ported from manopt for the optimization.
• ELEKTRONN A highly configurable toolkit with focus on high throughput analysis of large scale 2d and 3d images with convolutional neural networks e.g. in connectomics applications.
• deepy: a deep learning framework for designing models with complex architectures.
• Theano-Lights: a research framework based on Theano providing implementation of several recent Deep learning models and a convenient training and test functionality
• yann: a research framework and a toolbox on convolutional neural networks based on Theano with helpful tutorials for students to learn from.

• Dropout
• NADE/RNADE Check the paper/code for RNADE
• Alex's conv net Alex Krizhevsky Conv net in Theano.
• RNN CTC
• Generate natural language descriptions for YouTube videos
• TreeLSTM
• Variational Recurrent Neural Networks
• Transfer Learning
• Neural network that can generate natural images

• 2D Pose Estimation (ICLR 2014): Learning Human Pose Estimation Features with Convolutional Networks (http://arxiv.org/abs/1312.7302). Includes code to download and process data, train and test the model.
• Galaxy morphology prediction: winning solution for the Galaxy Zoo Challenge on Kaggle.

• Artificial Dataset Generation: this dataset generation can be used to do emperical measurements of Machine Learning algorithms.
• Hessian Free: Code to implement Hessian-Free model
• Janus: Janus is a tool that allows NumPy and Theano to be used simultaneously with no additional code.
• Kaldi wrapper They require boost::python

• Nesterov's accelerated gradient
• Adam's optimizer Code to reproduce "Semi-Supervised Learning with Deep Generative Models" NIPS 2014 paper.

• GroundHog: An RNN framework.
• Pylearn2: A machine learning library.
• DeepANN: Deep ANN implementation.
• TheanoConv3d2d: (Now integrated in Theano) A GPU-friendly 3D convolution implementation based on Conv2D.

Didn't find what you were looking for? Try a github search:

• Search github for 'Theano'