ixaxaar / pytorch-sublstmLinks
subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks
☆16Updated 7 years ago
Alternatives and similar repositories for pytorch-sublstm
Users that are interested in pytorch-sublstm are comparing it to the libraries listed below
Sorting:
- ☆115Updated last year
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆103Updated 7 years ago
- Keras for Science☆72Updated 7 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 8 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- A Spiking Multi-Layer Perceptron☆33Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- ScatWave is a Torch implementation of scattering using CUDA☆21Updated 7 years ago
- Code and report for APMA136 Final Project☆19Updated 10 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆238Updated 6 years ago
- Neural network training using iterated projections.☆90Updated 8 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 8 years ago
- Backpropagation training of neural networks with Hebbian plastic connections☆31Updated 4 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Malmo Collaborative AI Challenge - Team Pig Catcher☆65Updated 8 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- unitary matrix for hidden to hidden layer☆75Updated 8 years ago
- ☆36Updated 10 years ago
- ☆92Updated 8 years ago
- Cluttered MNIST Dataset☆53Updated 10 years ago
- ☆17Updated 8 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- ☆86Updated 12 years ago