Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
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Updated
Jan 4, 2024 - Python
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Tensorflow implementation of Neural Scene Representation and Rendering
A framework for composing Neural Processes in Python
Implementation of GQN in PyTorch
[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
Code for deep learning-based glioma/tumor growth models
Official repo to paper
This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.
Probabilistic deep learning using JAX
[ICLR'22] Multi-Task Neural Processes
Keras, Tensorflow eager execution implementation of Neural Processes
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.
Implementation of Contrastive Neural Processes in PyTorch
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
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