suytingwan's starred repositories

pose-tensorflow

Human Pose estimation with TensorFlow framework

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youtube-8m

Starter code for working with the YouTube-8M dataset.

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youtube-8m

The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)

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pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

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kaggle_carvana_segmentation

Code for the 1st place model in Carvana Image Masking Challenge

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TernausNet

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

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cnn-re-tf

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

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DeepMIML

A Keras implementation of the DeepMIML Network for multi-instance multi-label learning

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pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

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Kaggle_AllenAIscience

My solution for the Kaggle "Allen AI science challenge"

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ImageCaptioning.pytorch

I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)

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DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

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densenet.pytorch

A PyTorch implementation of DenseNet.

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efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

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LSA_Classification

Text classification example in Python using Latent Semantic Analysis (LSA)

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lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

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Faster-RCNN_TF

Faster-RCNN in Tensorflow

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SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

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tensorflow-fcn

An Implementation of Fully Convolutional Networks in Tensorflow.

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fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

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TextguidedATT

The implementation of Text-guided Attention Model for Image Captioning

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DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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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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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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Carvana-NoOne

A solution to the Carvana Image Masking Challenge on Kaggle (based on tensorflow)

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AI_Challenger_2017

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

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