feiyuhug's repositories

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ActivityNet-Entities

A Dataset for Grounded Video Description

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bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

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cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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CoreMLHelpers

Types and functions that make it a little easier to work with Core ML in Swift.

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cvpr18-caption-eval

Learning to Evaluate Image Captioning. CVPR 2018

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densecap

Dense video captioning in PyTorch

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densevid_eval

Evaluation code for Dense-Captioning Events in Videos

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DenseVideoCaptioning

Official Tensorflow Implementation of the paper "Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning" in CVPR 2018, with code, model and prediction results.

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FCOS

FCOS: Fully Convolutional One-Stage Object Detection

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foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

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iss-rnns

Sparse RNNs -- Learning Connections and Hidden Sizes (TensorFlow)

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kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

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mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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NeuralBabyTalk

Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"

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osx-terminal-themes

Color schemes for default Mac OS X Terminal.app

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pytorch-cifar

95.16% on CIFAR10 with PyTorch

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show-attend-and-tell

TensorFlow Implementation of "Show, Attend and Tell"

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ShowAndTell

A Show And Tell implementation for iOS 11.0 based on CoreML

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Tutorial-Medical-Image-Registration

Medical Image Registration

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ultra_high_resolution_segmentation

code used for CVPR2019 oral "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images"

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V-GAN-tensorflow

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

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