petered / spiking-mlp
A Spiking Multi-Layer Perceptron
☆34Updated 7 years ago
Related projects: ⓘ
- ☆34Updated 9 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆101Updated 6 years ago
- Fast CPU implementations of several conditional probabilistic models☆36Updated 11 months ago
- Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes☆16Updated 7 years ago
- ☆85Updated 11 years ago
- ☆109Updated 6 months ago
- Cluttered MNIST Dataset☆50Updated 9 years ago
- Bidirectional Helmholtz Machines☆41Updated 8 years ago
- Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016☆81Updated 8 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 6 years ago
- D-NTM paper repo☆26Updated 7 years ago
- ☆45Updated 8 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 8 years ago
- unitary matrix for hidden to hidden layer☆75Updated 7 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆55Updated 7 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 3 years ago
- ACDC: A Structured Efficient Linear Layer☆42Updated 8 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 9 years ago
- TargetProp for RNNs☆28Updated 5 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆31Updated 8 years ago
- Implementation of condnets☆14Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 8 years ago
- A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu☆34Updated 9 years ago
- ☆89Updated 7 years ago
- ☆38Updated 6 years ago
- An interface between Torch and Matlab☆31Updated 9 years ago
- ☆47Updated this week