Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
☆362Oct 12, 2019Updated 6 years ago
Alternatives and similar repositories for pyvarinf
Users that are interested in pyvarinf are comparing it to the libraries listed below
Sorting:
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894May 12, 2024Updated last year
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆485Feb 12, 2022Updated 4 years ago
- i-RevNet Pytorch Code☆396Feb 16, 2021Updated 5 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Aug 7, 2018Updated 7 years ago
- PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"☆345Dec 7, 2021Updated 4 years ago
- PyTorch implementations of algorithms for density estimation☆586May 13, 2021Updated 4 years ago
- This's an implementation of deepmind Visual Interaction Networks paper using pytorch☆165Feb 2, 2018Updated 8 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,835Updated this week
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆709Mar 2, 2020Updated 6 years ago
- Dilated RNNs in pytorch☆211Jun 24, 2019Updated 6 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆378Nov 19, 2022Updated 3 years ago
- An implementation of shampoo☆78Mar 9, 2018Updated 7 years ago
- Implementations of ideas from recent papers☆391Dec 22, 2020Updated 5 years ago
- Tools for PyTorch☆223Aug 10, 2022Updated 3 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93May 31, 2023Updated 2 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 3 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆392May 8, 2024Updated last year
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago
- Detectorch - detectron for PyTorch☆559Oct 30, 2018Updated 7 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆216Mar 10, 2018Updated 7 years ago
- Totally Versatile Miscellanea for Pytorch☆477Mar 20, 2022Updated 3 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Apr 27, 2018Updated 7 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆239Jan 12, 2019Updated 7 years ago
- Sequence-to-Sequence Framework in PyTorch☆392Jan 5, 2023Updated 3 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 6 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Jan 20, 2020Updated 6 years ago
- PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM☆1,265Feb 12, 2022Updated 4 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Aug 22, 2018Updated 7 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆278Feb 20, 2018Updated 8 years ago
- PyTorch based Deep Learning Toolbox☆206Jul 27, 2018Updated 7 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆386Feb 29, 2024Updated 2 years ago
- Latent Alignment and Variational Attention☆329Nov 5, 2018Updated 7 years ago
- Training Very Deep Neural Networks Without Skip-Connections☆589Jun 9, 2018Updated 7 years ago
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆659Jul 19, 2022Updated 3 years ago
- Deep universal probabilistic programming with Python and PyTorch☆8,983Jul 9, 2025Updated 7 months ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Nov 7, 2019Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149May 25, 2017Updated 8 years ago
- A simple, flexible, and extensible template for PyTorch. It's beautiful.☆191Nov 7, 2023Updated 2 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,567Apr 19, 2024Updated last year