erogol / Net2NetLinks
Net2Net implementation on PyTorch for any possible vision layers.
☆39Updated 7 years ago
Alternatives and similar repositories for Net2Net
Users that are interested in Net2Net are comparing it to the libraries listed below
Sorting:
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 7 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 5 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- ☆21Updated 5 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Updated 3 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago
- ☆13Updated 7 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- ☆45Updated 5 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- ☆27Updated 6 years ago
- ☆55Updated 6 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆29Updated 7 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆67Updated 3 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- pytorch implementation for paper, towards realistic predictors☆17Updated 6 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)