Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
☆85Nov 29, 2021Updated 4 years ago
Alternatives and similar repositories for pytorch_ard
Users that are interested in pytorch_ard are comparing it to the libraries listed below
Sorting:
- Sparse Variational Dropout, ICML 2017☆314May 20, 2020Updated 5 years ago
- Remplementation of paper https://arxiv.org/abs/1705.08665☆28Dec 18, 2017Updated 8 years ago
- Implementation of Information Dropout☆39Jul 12, 2017Updated 8 years ago
- Kaggle solutions☆17Nov 22, 2022Updated 3 years ago
- A Benchmark Workflow and Dataset Collection for Query Refinement☆25Jun 12, 2023Updated 2 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 5 years ago
- Learning Sparse Neural Networks through L0 regularization☆247Jul 17, 2020Updated 5 years ago
- PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).☆15Oct 23, 2020Updated 5 years ago
- ☆10Jan 8, 2020Updated 6 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- Image Segmentation using Fully Convolutional Networks in PyTorch☆11May 16, 2019Updated 6 years ago
- ☆13Apr 8, 2019Updated 6 years ago
- Convolutional Neural Network for Language Detection in Tensorflow☆12Apr 22, 2018Updated 7 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Mar 9, 2019Updated 7 years ago
- Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.☆12Apr 19, 2017Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Oct 29, 2017Updated 8 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- PyTorch implementation of SmoothTaylor☆15Sep 5, 2021Updated 4 years ago
- This is a Pytorch reimplementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"☆14Jan 3, 2019Updated 7 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- PyTorch Implementation for the paper "C3VQG: Category Consistent Cyclic Visual Question Generation" (ACM MM Asia'20).☆17Mar 31, 2023Updated 2 years ago
- Core Functionality of DL Pipelines☆14Apr 6, 2020Updated 5 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆17Jul 17, 2017Updated 8 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Oct 19, 2017Updated 8 years ago
- All content related to PyData Delhi 2017 - September 2,3 @ IIIT-Delhi☆18Oct 10, 2017Updated 8 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Apr 27, 2020Updated 5 years ago
- https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation☆42Sep 4, 2019Updated 6 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆79Jul 10, 2020Updated 5 years ago
- Discretizations of Exterior Calculus for Analysis, Geometry and Topology☆18Mar 3, 2021Updated 5 years ago
- Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. Medical Image Analy…☆19Nov 10, 2021Updated 4 years ago
- ☆16Jun 12, 2018Updated 7 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Jun 8, 2021Updated 4 years ago
- A Pytorch Implementation of Attentive Neural Process☆75May 3, 2019Updated 6 years ago
- ☆22Dec 11, 2018Updated 7 years ago
- Implements stochastic line search☆118Mar 14, 2023Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,163Mar 22, 2024Updated last year
- 1st place solution for Clog Loss: Advance Alzheimer’s Research with Stall Catchers☆23Feb 8, 2022Updated 4 years ago
- Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implici…☆24Oct 26, 2022Updated 3 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆207Sep 4, 2021Updated 4 years ago