222464 / GSDR
Generative SDR demo
☆13Updated 8 years ago
Alternatives and similar repositories for GSDR:
Users that are interested in GSDR are comparing it to the libraries listed below
- Simple, small, fully-connected Python version of NeoRL☆11Updated 9 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 8 years ago
- Neocortex-like reinforcement learning that runs on the GPU or CPU (OpenCL)☆69Updated 9 years ago
- Sample code for generative recurrent autoencoders.☆25Updated 8 years ago
- A bi-directional information flow reinforcement learning agent.☆11Updated 9 years ago
- A large collection of mostly reinforcement learning agents.☆84Updated 9 years ago
- Theano implementation of the Neural GPU☆15Updated 9 years ago
- Hierarchical Temporal Sparse Learner☆13Updated 9 years ago
- Python bindings to HTFE☆33Updated 9 years ago
- ☆35Updated 9 years ago
- ☆43Updated 2 years ago
- Numenta's experimental C++ research code. Please see htmresearch for more details.☆25Updated 5 years ago
- ☆25Updated 2 years ago
- Reinforcement learning with a convolutional neural network.☆36Updated 9 years ago
- Source code of the CPPN-Explorer tool. See http://www.evolvingai.org/PicbreederCanalization for the accompanying publication.☆27Updated 7 years ago
- A variant of HTM where spatial and temporal pooling are accomplished with the same mechanism☆13Updated 9 years ago
- A continuous implementation of hierarchical temporal memory on the GPU☆39Updated 9 years ago
- A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano☆20Updated 8 years ago
- Universal library for deep reinforcement learning.☆38Updated 8 years ago
- Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw☆22Updated 9 years ago
- This is my Master's thesis project about generative recurrent neural network written in Torch7.☆10Updated 8 years ago
- The original Deepmind Atari 2600 DQN code☆31Updated last year
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 9 years ago
- Deep Manifold Learning on Music Audio☆35Updated 8 years ago
- Implementations of differentiable stacks, queues, and deques from "Learning to Transduce with Unbounded Memory"☆20Updated 9 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- math hierarchical temporal memory☆25Updated 7 years ago
- MC-AIXI-CTW by Marcus Hutter and his students (in particular Daniel Visentin)☆47Updated 13 years ago
- Implementation of Sparse Distributed Memory created by Pentti Kanerva in 1988.☆48Updated 7 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆70Updated 3 years ago