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→ cambridge-mlg
6 open source projects by cambridge-mlg
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1.
Cnaps
Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"
✭ 100
python
2.
miracle
This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'
✭ 16
python
3.
DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
✭ 65
Jupyter Notebook
python
machine-learning
deep-learning
reproducible-research
pytorch
uncertainty
neural-networks
expectation-maximization
uncertainty-neural-networks
bayesian-inference
uncertainty-quantification
variational-inference
bayesian-neural-networks
robustness
neural-architecture-search
bayesian-deep-learning
probabilistic-inference
reproducible-paper
probabilistic-neural-network
learnt-depth
network-depths
4.
EinsumNetworks
No description, website, or topics provided.
✭ 35
python
shell
5.
mphil-intro-module
Jupyter notebooks on inference, regression and classification for MPhil students
✭ 32
Jupyter Notebook
6.
convcnp
Implementation of the Convolutional Conditional Neural Process
✭ 106
Jupyter Notebook
machine-learning
conditional-neural-process
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