izmailovpavel / TTGPView external linksLinks
☆26May 15, 2018Updated 7 years ago
Alternatives and similar repositories for TTGP
Users that are interested in TTGP are comparing it to the libraries listed below
Sorting:
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆20Jul 15, 2022Updated 3 years ago
- ☆22Apr 20, 2019Updated 6 years ago
- Course for ISP: craft of data visualization☆22Sep 1, 2022Updated 3 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆24Feb 11, 2024Updated 2 years ago
- Perception and labelling of stereogenic centres in chemical structures☆19Jan 30, 2024Updated 2 years ago
- An example of DyNet autobatching for the NIPS "how to code a paper" workshop☆12Dec 9, 2017Updated 8 years ago
- open toolbox for structural comparison☆13Dec 13, 2018Updated 7 years ago
- ☆16Apr 25, 2019Updated 6 years ago
- Auto-Encoding Variational Neural Machine Translation☆16Jan 22, 2020Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Aug 23, 2018Updated 7 years ago
- Code for the results of the Paper:☆21May 17, 2018Updated 7 years ago
- Tensorflow implementation of Synthetic Gradient for RNN (LSTM)☆39Jan 30, 2018Updated 8 years ago
- Tensor Train decomposition on TensorFlow☆227Apr 6, 2021Updated 4 years ago
- Gaussian Online Processes for Python☆19Jan 5, 2025Updated last year
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆45Aug 25, 2020Updated 5 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Feb 21, 2019Updated 6 years ago
- Python library for Recurrent Gaussian Processes☆22Oct 20, 2017Updated 8 years ago
- LSTM-based model for answer selection☆18Nov 20, 2018Updated 7 years ago
- Implementation of the paper "Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models"☆24Sep 7, 2018Updated 7 years ago
- Original implementation of Calibrated Boosting-Forest☆18Nov 21, 2017Updated 8 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Aug 14, 2018Updated 7 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆58Apr 15, 2019Updated 6 years ago
- Nonparametric Differential Equation Modeling☆56Mar 5, 2024Updated last year
- coming soon☆28May 9, 2023Updated 2 years ago
- ☆29Feb 15, 2019Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆35Nov 6, 2018Updated 7 years ago
- Molecular docking with Alchemical Interaction Grids☆30Nov 6, 2025Updated 3 months ago
- NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager☆71Nov 21, 2022Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Nov 30, 2018Updated 7 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Dec 13, 2018Updated 7 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Jan 21, 2021Updated 5 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆76Aug 2, 2014Updated 11 years ago
- MATLAB wrapper to the QPBO algorithm by V. Kolmogorov☆11Jun 12, 2015Updated 10 years ago
- Gaussian Processes in Pytorch☆76Feb 26, 2020Updated 5 years ago
- Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …☆35Aug 25, 2016Updated 9 years ago
- [In-Progress] Mini implementations of deep learning algorithms for natural language processing in PyTorch☆30Mar 30, 2017Updated 8 years ago
- Slides/code for the Lisbon machine learning school 2017☆28Jul 27, 2017Updated 8 years ago
- A Point Process Toolbox Based on PyTorch☆138Aug 31, 2020Updated 5 years ago