A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
☆18Dec 13, 2018Updated 7 years ago
Alternatives and similar repositories for amortized_svgd
Users that are interested in amortized_svgd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆10Apr 2, 2018Updated 8 years ago
- projected Stein variational gradient descent☆12Oct 2, 2021Updated 5 years ago
- Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning☆10Dec 28, 2021Updated 4 years ago
- Stein Variational Policy Gradient for REINFORCE☆18Jul 12, 2017Updated 9 years ago
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆11Jul 6, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.☆15Jun 19, 2017Updated 9 years ago
- SVGD implementation☆12Jul 23, 2018Updated 8 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆28Apr 3, 2019Updated 7 years ago
- Stein Variational Gradient Descent with Matrix-Valued Kernels☆13Dec 4, 2019Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆34Feb 12, 2018Updated 8 years ago
- Slides and code used in the lectures☆12Aug 12, 2019Updated 7 years ago
- Course project: optimal control of a 2 dof manipulator exploiting the DDP algorithm☆13Mar 4, 2022Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆66Dec 9, 2019Updated 6 years ago
- InfoMax-VAE pytorch implementation☆23Jul 25, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆14Jul 14, 2026Updated 3 months ago
- ☆19Jul 15, 2020Updated 6 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆14Jul 3, 2019Updated 7 years ago
- ☆10May 20, 2019Updated 7 years ago
- Matrix exponential in cuda for pytorch and tensorflow☆17Nov 26, 2018Updated 7 years ago
- An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions☆13Jul 22, 2026Updated 2 months ago
- Implementation of Deep Variational Bayes Filter☆13Aug 9, 2019Updated 7 years ago
- Scalable GP Adapter for Time Series Classification☆13Aug 29, 2017Updated 9 years ago
- Kernel Herding for probability density estimation☆14Feb 23, 2016Updated 10 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/☆16Sep 21, 2021Updated 5 years ago
- Exploration based Reinforcement Learning. (Montezuma Revenge)☆14Jul 23, 2018Updated 8 years ago
- testing multi gpu for pytorch☆26May 7, 2019Updated 7 years ago
- A pytorch version of hamiltonian monte carlo☆14Jun 26, 2019Updated 7 years ago
- Surprise-based intrinsic motivation for deep reinforcement learning☆21Mar 6, 2017Updated 9 years ago
- ☆12Jun 18, 2024Updated 2 years ago
- Deep variational Bayes filter in julia using Flux☆14Dec 13, 2020Updated 5 years ago
- Tensorflow implementation of deep variational information bottleneck☆24Jun 23, 2022Updated 4 years ago
- Predictive State Recurrent Neural Networks☆18May 18, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- ☆10Jun 4, 2024Updated 2 years ago
- Parses a document (scanned or phone captured) and returns the underlying question - answer layout structured capture by LayoutXLM model☆10Jun 14, 2021Updated 5 years ago
- Official implementation of "Learning Proposals for Practical Energy-Based Regression", AISTATS 2022.☆13Feb 4, 2023Updated 3 years ago
- Pytorch Implementation of AAMAS 2021 paper <Energy-Based Imitation Learning>☆12Oct 8, 2021Updated 5 years ago
- A Tensorflow implementation of WaveRNN☆16May 7, 2019Updated 7 years ago
- RoboVat: A unified toolkit for simulated and real-world robotic task environments.☆67Nov 22, 2022Updated 3 years ago