sanghyunyi / feedback_alignmentLinks
Tensorflow implementation of Direct and Random feedback Alignment
☆24Updated 8 years ago
Alternatives and similar repositories for feedback_alignment
Users that are interested in feedback_alignment are comparing it to the libraries listed below
Sorting:
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆103Updated 7 years ago
- ☆114Updated last year
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆238Updated 6 years ago
- ☆36Updated 10 years ago
- Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016☆81Updated 9 years ago
- AI-ON Consciousness Prior☆96Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 5 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆145Updated 8 years ago
- ☆140Updated 7 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆132Updated 7 years ago
- TensorNet (TensorFlow implementation)☆213Updated 7 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆111Updated 8 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- A Spiking Multi-Layer Perceptron☆33Updated 7 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 8 years ago
- DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.☆28Updated 7 years ago
- ☆133Updated 7 years ago
- Weight initialisation schemes for Torch7 neural network modules☆100Updated 8 years ago
- unitary matrix for hidden to hidden layer☆75Updated 8 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆170Updated 7 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- Implementation of the Differentiable Neural Computer in Tensorflow☆119Updated 7 years ago
- Backpropagation training of neural networks with Hebbian plastic connections☆31Updated 4 years ago
- RNN with differentiable structure (number of neurons)☆22Updated 9 years ago
- ☆86Updated 12 years ago