Implementation of Neural Process(NP) and its Varaints
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Updated
Oct 2, 2022 - Python
Implementation of Neural Process(NP) and its Varaints
Engineering masters research project on multi-output neural processes
Batch-aware online task creation for meta-learning.
Replication of the "Conditional Neural Processes" (2018) and "Neural Processes" (2018) papers by Garnelo et al.
PyTorch implementation of latent neural processes.
Adaptive Conditional Quantile Neural Processes - PyTorch
Implementations of deep learning algorithms
Implementation of Contrastive Neural Processes in PyTorch
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
This is a reproduction of Garnelo et al., Neural Processes. arXiv:1807.01622 [cs, stat] (2018).
Implementation of DeepMind's Neural Processes paper
Conditional Neural Process
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
Neural Process implementations in JAX and PyTorch
Probabilistic deep learning using JAX
Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Neural Time Series Analysis
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