khanhnguyendata / gaussian
How to generate Gaussian samples
☆13Updated 8 months ago
Alternatives and similar repositories for gaussian
Users that are interested in gaussian are comparing it to the libraries listed below
Sorting:
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- ☆26Updated 5 years ago
- Fast AutoAugment, similar to official release but easier to run☆16Updated 4 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 5 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 5 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- The most parameter efficient machine learning models on a few popular benchmarks☆42Updated 3 years ago
- Keras implementation of SDE-Net (ICML 2020).☆15Updated 4 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆24Updated 6 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Ridiculously fast random subset sampling☆14Updated 7 years ago
- ☆26Updated 6 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- ☆64Updated 7 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 8 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 5 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 2 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Developing and integrating methods for fastai2 tabular with other datatypes☆26Updated 2 years ago
- McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.☆13Updated 2 years ago
- ☆42Updated 4 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago