YannDubs/Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
This project helps machine learning researchers explore and replicate experiments with Neural Processes (NPs). It provides PyTorch code and pretrained models for various NP architectures, allowing users to input image or 1D synthetic datasets and observe the models' predictive distributions, such as image super-resolution. This is ideal for academics and researchers focusing on probabilistic modeling and meta-learning.
231 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or student who wants to understand, experiment with, or replicate results from the Neural Process family of models.
Not ideal if you are looking for a ready-to-use application or a production-grade library for non-research purposes, as this is primarily an experimental and research-focused codebase.
Stars
231
Forks
53
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 12, 2024
Commits (30d)
0
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