edwardjhu / improved_wassersteinLinks
Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
☆14Updated 5 years ago
Alternatives and similar repositories for improved_wasserstein
Users that are interested in improved_wasserstein are comparing it to the libraries listed below
Sorting:
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 7 years ago
- Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamic…☆11Updated 4 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Kalman Optimization for Value Approximation☆11Updated 5 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 2 years ago
- 🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.☆12Updated 8 years ago
- Easily serialize dataclasses to and from tensors (PyTorch, NumPy)☆18Updated 4 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Easily optimize generic performance metrics in differentiable learning.☆18Updated 5 years ago
- A framework for implementing equivariant DL☆10Updated 4 years ago
- Easing non-convex optimization with neural networks.☆23Updated 6 years ago
- Investigate the speed of adaptation of structural causal models☆15Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- ☆25Updated 5 years ago
- ☆45Updated 5 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- ☆16Updated 8 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 2 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…☆13Updated 4 years ago