KentonMurray / ProxGradPytorchLinks
PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
☆42Updated 5 years ago
Alternatives and similar repositories for ProxGradPytorch
Users that are interested in ProxGradPytorch are comparing it to the libraries listed below
Sorting:
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- #UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning☆12Updated 3 years ago
- ☆149Updated 3 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- ☆24Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Multislice PHATE for tensor embeddings☆61Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆72Updated 7 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆130Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆101Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- ☆76Updated 8 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆47Updated 7 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- Hypergradient descent☆147Updated last year
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 3 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 5 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- ☆91Updated 6 years ago