zaczou

tensorflow

An Open Source Machine Learning Framework for Everyone

caire

Content aware image resize library

text_classification

all kinds of text classification models and more with deep learning

sklearn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

cnn_finetune

Fine-tune CNN in Keras

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

DenseNet-Keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

xgboost-doc-zh

XGBoost 中文文档

cove

SQLNet

Neural Network for generating structured queries from natural language.

pytorch-tensor-decompositions

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

MillionHeroes

百万英雄/冲顶大会/芝士超人答题助手

Image_Captioning_AI_Challenger

Code for AI Challenger contest. (Generating chinese image captions)

Bilinear-CNN-TensorFlow

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

tensorflow-densenet

Tensorflow-DenseNet with ImageNet Pretrained Models

Awesome-Text-Classification

Awesome-Text-Classification Projects,Papers,Tutorial .

vqa-winner-cvprw-2017

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

FusionNet-NLI

An example for applying FusionNet to Natural Language Inference

dynamic-coattention-network

Tensorflow implementation of Dynamic Coattention Networks for Question Answering.

vqa-mfb.pytorch

This project is out of date, I don't remember the details inside...

MPN-COV

@ICCV2017: For exploiting second-order statistics, we propose Matrix Power Normalized Covariance pooling (MPN-COV) ConvNets, different from and outperforming those using global average pooling.

qa

TensorFlow Models for the Stanford Question Answering Dataset

Baidu_Dogs

百度西交第三届大数据比赛Baseline(全国第4名)

CoVe

Keras implementation of CoVe

keras_attention_block

attention block for keras Functional Model with only tensorflow backend

NN4ABSA

Neural Network based models for Aspect-Based Sentiment Analysis

Dynamic-Coattention-Network-for-SQuAD

Tensorflow implementation of DCN for question answering on the Stanford Question Answering Dataset (SQuAD)

FusionNet

Fusion Net Implementation for SQUAD [DEPRECATED] https://arxiv.org/abs/1711.07341

AttentionTargetSentiment

reproduce "Attention Modeling for Targeted Sentiment"