davidwarne / Bayesian_SIMD_examples
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
- 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 4 years ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆17Updated last year
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Updated 7 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 5 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated last year
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Colab notebooks for d2l-book☆11Updated 5 years ago
- Code for the paper on t-SNE with variable degree of freedom☆12Updated 5 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 7 years ago
- Easing non-convex optimization with neural networks.☆22Updated 6 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- f-divergence based t-SNE☆16Updated 2 years ago
- Selecting features as (network) nodes☆11Updated 6 years ago
- An algorithm for classification from a graph-sparse support☆15Updated 6 years ago
- ☆13Updated 6 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆23Updated 7 years ago
- ☆13Updated 7 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 2 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Updated 4 years ago
- Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"☆15Updated 5 years ago
- Graph-based learning in Python☆18Updated 6 years ago
- Implements an infinite sum of poisson-weighted convolutions☆26Updated 6 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 5 years ago
- ☆12Updated 7 years ago
- Contrast between ShuffleNet V2 and MnasNet.(Non-official implement In PyTorch)☆12Updated 6 years ago
- ☆11Updated 7 years ago
- Code for the paper "Mean Spectral Normalization"☆9Updated 5 years ago