koz4k / dni-pytorchLinks
Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
☆238Updated 6 years ago
Alternatives and similar repositories for dni-pytorch
Users that are interested in dni-pytorch are comparing it to the libraries listed below
Sorting:
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 7 years ago
- ☆219Updated 7 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- Tools for PyTorch☆222Updated 3 years ago
- ☆133Updated 7 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆276Updated 7 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆103Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆269Updated 6 years ago
- Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch☆345Updated 2 months ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆295Updated 6 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 5 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆102Updated 8 years ago
- Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.☆94Updated 2 years ago
- supercell☆192Updated 7 years ago
- An experimental technique for efficiently exploring neural architectures.☆491Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆145Updated 8 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Cleaned original source code from my NIPS publication☆156Updated 7 years ago
- Fast Scattering Transform with CuPy/PyTorch☆296Updated 5 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆111Updated 8 years ago