deepGP
Uncertainty model
Software implementing probabilistic models for uncertainty estimation in data analysis
Deep Gaussian Processes in matlab
91 stars
30 watching
43 forks
Language: MATLAB
last commit: about 3 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
sheffieldml/multigp | Software for modeling and prediction with multiple output Gaussian processes | 48 |
sheffieldml/gpmat | A Matlab toolbox providing implementations of Gaussian processes and other machine learning tools. | 133 |
sheffieldml/vargplvm | A software project implementing Bayesian GP-LVM with variational approximations and automatic dimensionality detection. | 74 |
jaxgaussianprocesses/gpjax | Provides a low-level interface to Gaussian process models in JAX for flexible extension and customisation | 465 |
dfm/tinygp | A lightweight library for building Gaussian Process models in Python | 298 |
google/edward2 | A tool for writing probabilistic models and manipulating their computation | 679 |
jonghyunharrylee/pypcga | Software library for inverse modeling of subsurface systems using geostatistical methods | 24 |
da-southampton/redgpt | A library providing a pre-trained language model for natural language inference tasks using a transformer architecture. | 61 |
pgm-lab/inferpy | A high-level API for probabilistic modeling with a focus on ease of use and scalability | 148 |
google-deepmind/recurrentgemma | An implementation of a fast and efficient language model architecture | 610 |
rlouf/mcx | Tools and methods for Bayesian deep learning using probabilistic programming. | 327 |
locuslab/e2e-model-learning | Develops an approach to learning probabilistic models in stochastic optimization problems | 201 |
matlab-deep-learning/transformer-models | An implementation of deep learning transformer models in MATLAB | 209 |
google-deepmind/distrax | A library of probability distributions and bijectors with a focus on readability, extensibility, and compatibility with existing frameworks. | 537 |
thepaw/probab | A tool for generating and manipulating probabilistic models in code. | 20 |