Dnn2gp
Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Neural Tangents | 2,149 |  | 1 | 5 months ago | 30 | August 24, 2023 | 61 | apache-2.0 | Jupyter Notebook | |
| Fast and Easy Infinite Neural Networks in Python | ||||||||||
| Gp4a | 179 | 4 years ago | 1 | Jupyter Notebook | ||||||
| Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes" | ||||||||||
| Deep Bayesian Nonparametrics Papers | 67 | 5 years ago | ||||||||
| The collection of papers about combining deep learning and Bayesian nonparametrics | ||||||||||
| Jlearn | 55 | 5 months ago | mit | J | ||||||
| Machine Learning Library, written in J | ||||||||||
| Fbnn | 53 | 4 years ago | Python | |||||||
| Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779) | ||||||||||
| Dnn2gp | 17 | 4 years ago | Python | |||||||
| Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp) | ||||||||||
| Deep_learning_onboarding | 8 | 4 years ago | ||||||||
| List of resources for deep learning | ||||||||||
| Neurallinear | 6 | 4 years ago | Python | |||||||
| Multi-output Gaussian process regression via multi-task neural network | ||||||||||
| Kernel_learning | 5 | 5 years ago | Python | |||||||
| A GPflow implementation of the Neural Kernel Network | ||||||||||
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Python
Network
Kernel
Gaussian Processes