plemeri / RandWire_tensorflowLinks
tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
☆31Updated 5 years ago
Alternatives and similar repositories for RandWire_tensorflow
Users that are interested in RandWire_tensorflow are comparing it to the libraries listed below
Sorting:
- Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset☆88Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 7 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- PyTorch code for training neural networks without global back-propagation☆165Updated 5 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)☆93Updated 11 months ago
- ☆14Updated 6 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆273Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …☆51Updated 11 months ago
- an implementation of L0 regularization with PyTorch☆57Updated 7 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆61Updated 11 months ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)☆18Updated 5 years ago
- ☆39Updated 5 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago
- Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization☆54Updated 7 years ago
- An implementation of shampoo☆75Updated 7 years ago
- ☆125Updated 3 years ago
- The original code for the paper "Learning to Learn via Self-Critique".☆46Updated 5 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 4 years ago