Engineering masters research project on multi-output neural processes
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Updated
Feb 28, 2022 - Python
Engineering masters research project on multi-output neural processes
Batch-aware online task creation for meta-learning.
Conditional Neural Process
Adaptive Conditional Quantile Neural Processes - PyTorch
PyTorch implementation of latent neural processes.
Implementations of deep learning algorithms
Implementation of Neural Process(NP) and its Varaints
Replication of the "Conditional Neural Processes" (2018) and "Neural Processes" (2018) papers by Garnelo et al.
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
Implementation of DeepMind's Neural Processes paper
Neural Process implementations in JAX and PyTorch
This is a reproduction of Garnelo et al., Neural Processes. arXiv:1807.01622 [cs, stat] (2018).
Keras, Tensorflow eager execution implementation of Neural Processes
Quick experiment to see how neural processes do vs kriging, at gridding soil samples
[ICLR'22] Multi-Task Neural Processes
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
Official repo to paper
Implementation of Contrastive Neural Processes in PyTorch
Probabilistic deep learning using JAX
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