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Bayesian and Neural Systems Group's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

dagan icon dagan

DAGAN: Data Augmentation Generative Adversarial Networks

deep-kernel-transfer icon deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

deficient-efficient icon deficient-efficient

Successfully training approximations to full-rank matrices for efficiency in deep learning.

howtotrainyourmamlpytorch icon howtotrainyourmamlpytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

kubeproject icon kubeproject

A set of tools built to simplify daily driving of cloud resources for individual VM access, Kubernetes batch jobs and miscellaneous useful functionality related to cloud-based ML research

mpl_sizes icon mpl_sizes

Match your fig size and font to conference formats.

outline icon outline

The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.

poem-bench icon poem-bench

Welcome to GATE - Generalization After Transfer Evaluation - A framework built to evaluate a learning process on its ability to learn and generalize on previously unseen Tasks, Data domains and Modalities.

pytorch-genet icon pytorch-genet

A Pytorch implementation of https://arxiv.org/abs/1810.12348.

torch-dct icon torch-dct

Moved to: https://github.com/gngdb/pytorch-acdc

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