The Singular Values of Convolutional Layers
☆73Sep 25, 2018Updated 7 years ago
Alternatives and similar repositories for conv-sv
Users that are interested in conv-sv are comparing it to the libraries listed below
Sorting:
- My Webinar at ODSC, Boston 2019 for humans☆10Mar 27, 2019Updated 6 years ago
- A collection of notebooks aiding the understanding of machine-learning papers.☆10Apr 5, 2021Updated 4 years ago
- Implementation for NATv2.☆23Feb 20, 2021Updated 5 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Jul 4, 2018Updated 7 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Jun 23, 2019Updated 6 years ago
- ☆13Mar 11, 2018Updated 7 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Aug 6, 2018Updated 7 years ago
- ☆15Apr 12, 2023Updated 2 years ago
- A fast and efficient way to compute a differentiable bound on the singular values of convolution layers☆12Nov 22, 2019Updated 6 years ago
- Lagrangian VAE☆28Jul 27, 2018Updated 7 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Nov 8, 2021Updated 4 years ago
- Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019☆14Jun 17, 2024Updated last year
- Neural Nearest Neighbors Networks (NIPS*2018)☆289Jul 6, 2023Updated 2 years ago
- Gated Path Planning Networks (ICML 2018)☆180Jan 23, 2019Updated 7 years ago
- ☆19Nov 11, 2019Updated 6 years ago
- Sequential Neural Likelihood☆42Sep 12, 2019Updated 6 years ago
- Robustness for Non-Parametric Classification: A Generic Attack and Defense☆18Nov 21, 2022Updated 3 years ago
- ☆13Dec 21, 2018Updated 7 years ago
- Nonnegative matrix factorizations in MapReduce☆24Dec 9, 2014Updated 11 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Mar 28, 2016Updated 9 years ago
- Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR …☆51Apr 13, 2019Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Aug 21, 2019Updated 6 years ago
- A latent-variable model for learning bilingual word embedding mappings☆18Feb 11, 2019Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Aug 7, 2018Updated 7 years ago
- PixelVAE with or without regularization☆68Jun 7, 2017Updated 8 years ago
- Graduate topics course on learning discrete latent structure.☆67Dec 30, 2018Updated 7 years ago
- Deep learning with a multiplication budget☆47Jul 15, 2018Updated 7 years ago
- ☆21May 17, 2017Updated 8 years ago
- Guided Evolutionary Strategies☆273Apr 6, 2023Updated 2 years ago
- rich posterior approximations and anomaly detection☆20Mar 15, 2019Updated 6 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆146Apr 10, 2023Updated 2 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Oct 13, 2022Updated 3 years ago
- Automatic ROI Detection☆19Nov 10, 2015Updated 10 years ago
- Object detection with segmentation and context in deep networks☆27Jun 12, 2015Updated 10 years ago
- Poster for "A Neural Representation for Sketch Drawings" for ICLR 2018 Conference☆22Apr 23, 2018Updated 7 years ago
- A hybrid Java/Python desktop app that collects regional Uber/Lyft driver information in real-time☆10Sep 16, 2017Updated 8 years ago
- ☆28Nov 28, 2021Updated 4 years ago
- A tutorial for students that surveys basic ML techniques in ipython notebook format.☆30Aug 23, 2019Updated 6 years ago
- EPIC-KITCHENS-55 dataset python library☆31Jun 21, 2022Updated 3 years ago