davidwarne / Bayesian_SIMD_examplesLinks
Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian statistics using vector operations.
☆13Updated 4 years ago
Alternatives and similar repositories for Bayesian_SIMD_examples
Users that are interested in Bayesian_SIMD_examples are comparing it to the libraries listed below
Sorting:
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Implementation of Selective Clustering Annotated using Modes of Projections☆10Updated 5 years ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆17Updated last year
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆22Updated 7 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated last month
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Updated 7 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Code for the paper on t-SNE with variable degree of freedom☆12Updated 6 years ago
- Colab notebooks for d2l-book☆11Updated 5 years ago
- Python implementation of Conditional Random Fields (CRF) for Optical Character Recognition (OCR)☆7Updated 10 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 5 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- f-divergence based t-SNE☆16Updated 2 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 5 years ago
- Kalman Optimization for Value Approximation☆11Updated 5 years ago
- ☆12Updated 6 years ago
- Deep reinforcement learning for adaptation in evolutionary algorithms☆9Updated 5 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 7 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 2 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- Deep Learning using Rectified Linear Units (ReLU)☆22Updated 11 months ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- ☆11Updated 4 years ago
- Code for the paper "Mean Spectral Normalization"☆9Updated 6 years ago
- Fork of cma-es library by Nikolaus Hansen☆12Updated 8 years ago
- Code for 'Region Segmentation via Deep Learning and Convex Optimization' paper.☆9Updated 5 years ago
- Question Dependent Recurrent Entity Network☆13Updated 7 years ago
- Rectified Factor Networks☆38Updated 5 years ago