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hart

Hierarchical Attentive Recurrent Tracking

image-text-embedding

Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535

lasagne-draw

Implementation of the DRAW network in lasagne

latex-beamerposter

The LaTeX beamerposter package

latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

learning-to-learn

Learning to Learn in TensorFlow

learning-via-translation

Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf)

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matchingnetworks

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

mattnet

MAttNet: Modular Attention Network for Referring Expression Comprehension

memnn

Implementation of Memory Network in pyTorch

memorynetworks

End-To-End Memory Networks in PyTorch

meta_trackers

ml-videos

A collection of video resources for machine learning

mx-maskrcnn

A MXNet implementation of Mask R-CNN

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

nlor_a3c

Tensorflow implementation of "An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning"

papers

Edward content including papers, posters, and talks

pdfs

PDF Collection

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-dnc

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

refer

Referring Expression Datasets API

referringrelationships

residual_adapters

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN with competitive performance

svgd

Tensorflow implementation of Stein Variational Gradient Descent (SVGD)