KellerJordan / ResNet-PyTorch-CIFAR10Links
PyTorch implementation of residual networks trained on CIFAR-10 dataset (2017)
☆31Updated 8 years ago
Alternatives and similar repositories for ResNet-PyTorch-CIFAR10
Users that are interested in ResNet-PyTorch-CIFAR10 are comparing it to the libraries listed below
Sorting:
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆477Updated 6 years ago
- pytorch-tiny-imagenet☆190Updated 3 weeks ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆283Updated 3 years ago
- Learning Sparse Neural Networks through L0 regularization☆248Updated 5 years ago
- Scripts for Imagenet 32 dataset☆155Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆247Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- ☆155Updated 5 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated 2 years ago
- [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation☆54Updated 3 months ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Updated 3 years ago
- 3.41% and 17.11% error on CIFAR-10 and CIFAR-100☆338Updated 7 years ago
- ☆94Updated 4 years ago
- ☆59Updated 2 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆25Updated 6 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Updated 5 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆347Updated 4 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 5 years ago
- NTK reading group☆87Updated 6 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆130Updated 4 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆116Updated 6 years ago
- explore DNNs via Infomration☆266Updated 5 years ago
- pytorch implementation of Parametric Noise Injection for adversarial defense☆46Updated 6 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆208Updated 7 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆179Updated last year
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆110Updated 6 years ago