jeffreyzpan / adversarial-playgroundLinks
On Intrinsic Dataset Properties for Adversarial Machine Learning
☆19Updated 5 years ago
Alternatives and similar repositories for adversarial-playground
Users that are interested in adversarial-playground are comparing it to the libraries listed below
Sorting:
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- ☆34Updated 6 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- ☆70Updated 5 years ago
- Training neural networks with 8-bit computations☆28Updated 9 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- PyProf2: PyTorch Profiling tool☆82Updated 5 years ago
- Code base for SRSGD.☆29Updated 5 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 6 years ago
- ☆23Updated 6 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 7 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…☆18Updated last year
- ☆13Updated 7 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated 11 months ago
- Meta-SGD Algorithms Implementation☆22Updated last year
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19Updated 5 years ago
- ☆34Updated 6 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- ☆14Updated 3 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆46Updated 5 years ago
- Generalized Framework for PyTorch☆32Updated 3 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 7 years ago