Variational Inference by Policy Search
☆13Apr 24, 2019Updated 7 years ago
Alternatives and similar repositories for VIPS
Users that are interested in VIPS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of different Relative Entropy Policy Search flavors☆13Nov 15, 2021Updated 4 years ago
- Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…☆21Dec 8, 2022Updated 3 years ago
- Dirichlet Process Mixture Models in Julia☆14May 31, 2016Updated 9 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆16Oct 21, 2020Updated 5 years ago
- ☆13Aug 15, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Dec 17, 2019Updated 6 years ago
- Detect and reconstruct transparent objects from scan shadows☆10Sep 22, 2017Updated 8 years ago
- This repository collects supplementary material to study reinforcement learning with a focus on topics covered by the TU Darmstadt IAS le…☆12Feb 11, 2019Updated 7 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Oct 30, 2019Updated 6 years ago
- ☆11Sep 16, 2023Updated 2 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Feb 24, 2020Updated 6 years ago
- Bivariate Shapley is a Shapley-based method of identifying directional feature interactions and feature redundancy☆20May 19, 2025Updated last year
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆11Jan 28, 2019Updated 7 years ago
- Python and MATLAB code for Stein Variational sampling methods☆28May 25, 2019Updated 7 years ago
- Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024)☆11Jan 6, 2025Updated last year
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆13Apr 20, 2026Updated last month
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆38Feb 13, 2021Updated 5 years ago
- Contextual bandit benchmarking☆53Jan 21, 2026Updated 4 months ago
- Generalised UDRL☆37May 12, 2022Updated 4 years ago
- Lightweight Bayesian deep learning library for fast prototyping based on PyTorch☆14Feb 24, 2023Updated 3 years ago
- Learning-based multi-fingered grasp planners.☆10Mar 5, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Multivariate normal CDF computation for tensors. Implementation of closed form derivatives.☆13Oct 24, 2022Updated 3 years ago
- Source files for our regularization paper!☆15May 11, 2019Updated 7 years ago
- Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/☆31Jun 6, 2024Updated last year
- Neural networks for conditional density estimation☆15May 9, 2020Updated 6 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Oct 1, 2018Updated 7 years ago
- Official code release for ICLR23 "Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning"☆16Mar 8, 2023Updated 3 years ago
- A blogging platform built on Github gists☆295Aug 4, 2014Updated 11 years ago
- Deep Structured Energy Based Model☆11Jan 6, 2018Updated 8 years ago
- ☆12Apr 24, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- An implementation of squared neural families in PyTorch☆14Oct 22, 2024Updated last year
- Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"☆16Dec 17, 2018Updated 7 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated last year
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Sep 25, 2020Updated 5 years ago
- This repository provides tools for developing Digital Twins on AWS and hybrid-computing environments.☆20Nov 14, 2023Updated 2 years ago
- Code and data for EMNLP2019 Paper "Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework…☆10May 24, 2020Updated 6 years ago
- A PyTorch implementation of InfoVAE: Balancing Learning and Inference in Variational Autoencoders by Zhao et al.☆10Aug 13, 2019Updated 6 years ago