AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
☆36Sep 16, 2018Updated 7 years ago
Alternatives and similar repositories for pSGLD
Users that are interested in pSGLD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 11 years ago
- ☆59Feb 7, 2019Updated 7 years ago
- Code for the Santa algorithm for deep learning☆16May 14, 2018Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Dec 7, 2016Updated 9 years ago
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Jan 23, 2018Updated 8 years ago
- ☆18Feb 3, 2016Updated 10 years ago
- Implementation of clipped action policy gradient (CAPG) with PPO and TRPO☆31Jun 24, 2018Updated 8 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42May 20, 2022Updated 4 years ago
- Run a static part of the computational graph written in Chainer with Tensorflow☆20Jan 10, 2017Updated 9 years ago
- Fast asynchronous GPU monitoring tool across multiple machines through SSH☆12Nov 26, 2024Updated last year
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆95Oct 28, 2020Updated 5 years ago
- Julia implementations of temporal difference Reinforcement Learning algorithms like Q-Learning and SARSA☆12Nov 16, 2025Updated 8 months ago
- TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.☆110Oct 4, 2016Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- a probabilistic latent semantic analysis model in matlab programming☆21Jul 15, 2013Updated 13 years ago
- ☆17May 19, 2016Updated 10 years ago
- Generative Models with TensorFlow☆30Dec 28, 2015Updated 10 years ago
- Stochastic Variance Reduction Policy Gradient Estimation☆11Nov 6, 2018Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Jul 17, 2020Updated 6 years ago
- ☆13Jun 6, 2014Updated 12 years ago
- Using CNN features, SVM classifier and Transfer Learning☆12Jan 15, 2016Updated 10 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Jun 18, 2019Updated 7 years ago
- Repository for OpenCV's extra modules☆12Aug 25, 2016Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Julia Hands-on at ERAD-NE 2015☆10Apr 17, 2016Updated 10 years ago
- neural_topic_models☆11Jan 9, 2017Updated 9 years ago
- Dropout as Regularization and Bayesian Approximation☆57Nov 17, 2018Updated 7 years ago
- Code for the paper☆11May 24, 2024Updated 2 years ago
- a toolkit for forecasting energy time series☆19May 26, 2022Updated 4 years ago
- Thompson Sampling for Bandits using UCB policy☆10Jul 29, 2017Updated 9 years ago
- ☆47Aug 15, 2019Updated 7 years ago
- PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)☆15Sep 10, 2018Updated 7 years ago
- image deblur framework,base on opencv 2.4.9☆22Jul 13, 2014Updated 12 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- MIGSAA Project 2 - Langevin Monte Carlo Algorithms☆15Jul 25, 2023Updated 3 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Jan 3, 2019Updated 7 years ago
- ☆10Aug 25, 2016Updated 9 years ago
- Heuristic Dynamic Programming with Python☆14Jul 28, 2014Updated 12 years ago
- Implementation of DGMA2-Net: A Difference-Guided Mutiscale Aggregation Attention Network for Remote Sensing Image Change Detection☆17Sep 17, 2024Updated last year
- Official implementation of "Traveling Waves Encode the Recent Past and Enhance Sequence Learning" (ICLR 2024)☆12Mar 15, 2024Updated 2 years ago