emited / gantk2Links
GAN(TK)²: GAN Neural Tangent Kernel ToolKit
☆13Updated 3 years ago
Alternatives and similar repositories for gantk2
Users that are interested in gantk2 are comparing it to the libraries listed below
Sorting:
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- ☆26Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- ☆34Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- ☆33Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- pytorch implementation of SOSELETO☆15Updated 6 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆33Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 6 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 6 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- ☆25Updated 5 years ago
- implements optimal transport algorithms in pytorch☆102Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago