Python library for Recurrent Gaussian Processes
☆22Oct 20, 2017Updated 8 years ago
Alternatives and similar repositories for RGP
Users that are interested in RGP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python implementation of the PR-SSM.☆59Jul 9, 2018Updated 7 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Jan 2, 2014Updated 12 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Dec 8, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Jan 2, 2021Updated 5 years ago
- Matlab Code for Variational Gaussian Copula Inference☆18Mar 15, 2016Updated 10 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- An OpenAI Gym to benchmark AI Reinforcement Learning algorithms in fisheries-related control problems☆10Jul 17, 2023Updated 2 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆12Aug 1, 2022Updated 3 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- ☆11Jun 17, 2016Updated 9 years ago
- Gaussian Processes for Sequential Data☆20Dec 12, 2020Updated 5 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 community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- Variational Gaussian Process State-Space Models☆25Nov 10, 2015Updated 10 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 8 years ago
- System Identification with LSTM networks☆14Jul 6, 2023Updated 2 years ago
- Retrieve all birthdays from Facebook using Python☆10Nov 7, 2020Updated 5 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- Randomized Linear Algebra in Python☆13Mar 21, 2017Updated 9 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 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.
- ☆15Jan 6, 2019Updated 7 years ago
- Online LDA using Hoffman's Python Implementation☆15Nov 14, 2014Updated 11 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆11Dec 5, 2019Updated 6 years ago
- Talk and demo notebooks for PyData Chicago, August 2016: http://pydata.org/chicago2016/schedule/presentation/15/☆12Oct 29, 2016Updated 9 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆37Jan 15, 2014Updated 12 years ago
- 全国大学生智能汽车竞赛讯飞智能餐厅组别南航猫猫子带带我队的视觉识别代码仓库☆12Aug 21, 2021Updated 4 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Nov 9, 2016Updated 9 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆14Apr 4, 2017Updated 9 years ago
- ☆26May 15, 2018Updated 8 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.
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Code to reproduce the results of the paper In-context learning for model-free system identification☆19Jul 31, 2024Updated last year
- Corresponding source code for the study "Real-time Synthesis of Imagined Speech Processes from Minimally Invasive Recordings of Neural Ac…☆11Jul 30, 2021Updated 4 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆153Feb 21, 2019Updated 7 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 2 years ago
- XPySom is a minimalistic implementation of batch Self Organizing Map algorithm☆19Sep 20, 2023Updated 2 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago