Multi-output Gaussian process regression via multi-task neural network
☆14Dec 3, 2019Updated 6 years ago
Alternatives and similar repositories for NeuralLinear
Users that are interested in NeuralLinear are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)☆23Apr 24, 2020Updated 6 years ago
- Tutorial for Clustering mixed data types☆10Jan 25, 2021Updated 5 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Dec 3, 2025Updated 7 months ago
- ☆13Feb 7, 2023Updated 3 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.
- Cartesian impedance controller for pr2☆10Jul 9, 2015Updated 11 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- Project of OOP, Tsinghua University, 2018 spring; Implement of "VLSI Module Placement Based on Rectangle Packing by the Sequence-Pair"☆13Jun 30, 2019Updated 7 years ago
- ☆11Jun 17, 2016Updated 10 years ago
- QT+OpenGL实现机械臂3d显示与控制☆17Jan 3, 2022Updated 4 years ago
- ☆10Dec 11, 2022Updated 3 years ago
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 9 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆37Jan 15, 2014Updated 12 years ago
- ☆11Apr 23, 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.
- Randomized Linear Algebra in Python☆13Mar 21, 2017Updated 9 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆16May 15, 2022Updated 4 years ago
- ☆14Jun 24, 2024Updated 2 years ago
- xenomai realtime ; ethercat soem ; module robot☆18Jan 8, 2020Updated 6 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Nov 9, 2016Updated 9 years ago
- ☆13May 6, 2017Updated 9 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆14Apr 4, 2017Updated 9 years ago
- Automatic code generator for training Reinforcement Learning policies☆11Jan 3, 2021Updated 5 years ago
- Light Seeking and Obstacle Avoiding Robot☆10Feb 7, 2017Updated 9 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.
- 基于DeepConvLSTM的传感器信号分类☆11May 15, 2018Updated 8 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- 2018 RoboCup@Rescue China / 2018 China Robot Competition@Rescue☆13Oct 8, 2019Updated 6 years ago
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Sep 20, 2023Updated 2 years ago
- Skoltech, Term1 Fall course☆12Oct 1, 2021Updated 4 years ago
- This is a motor control project based on SOEM (Simple Open EtherCAT Master) running on a real-time system. Several algorithms (like PD co…☆19Nov 29, 2018Updated 7 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Nov 18, 2013Updated 12 years ago
- Collaborative multi-output Gaussian processes☆12Jul 23, 2014Updated 11 years ago
- Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search☆17Jul 25, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆12Mar 4, 2024Updated 2 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Mar 21, 2020Updated 6 years ago
- Use Bert-CNN-Capsule for text classification☆10May 20, 2019Updated 7 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆72Nov 4, 2012Updated 13 years ago
- Github page for the paper "Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive mod…☆11Oct 23, 2020Updated 5 years ago
- Code companion of Multi-task Learning for Aggregated Data using Gaussian Processes paper☆11Apr 6, 2020Updated 6 years ago
- 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