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2019-sohu-algorithm-competition

2019搜狐内容识别算法大赛季军

2019-sohu-competition

:chicken:2019搜狐校园算法大赛。决赛解决方案ppt、实体lgb单模代码

bert

TensorFlow code and pre-trained models for BERT

bert_chinese_classification

本实验，是用BERT进行中文情感分类，记录了详细操作及完整程序

cbdnet

Code for "Toward Convolutional Blind Denoising of Real Photographs"

ccf-bdci-automotive-field-asc-2018

CCF-BDCI 2018年汽车行业用户观点主题及情感识别挑战赛 第6名解决方案

coreentityemotion_baseline

搜狐算法大赛：主要实体词情绪识别 baseline

cs224n-natural-language-processing-winter2019

My Programming Assignments for CS224n: Natural Language Processing with Deep Learning - Winter 2019

cs231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

decision-tree

Implementation of Decision Tree using ID3 Algorithm

decision-tree-1

C4.5 Decision Tree python implementation with validation, pruning, and attribute multi-splitting

deeplearningbook-chinese

Deep Learning Book Chinese Translation

drit

Learning diverse image-to-image translation from unpaired data

fcn-semantic-segmentation

Fully convolutional networks for semantic segmentation

fcn.berkeleyvision.org

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

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

huawei2019

2019届华为软件精英挑战赛赛题为“智能世界•纵横”！西北赛区33名

jieba_fast

Use C Api and Swig to Speed up jieba 高效的中文分词库

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

libsvm

modelarts-example

models

Models and examples built with TensorFlow

multivariatedecisiontree

named-entity-recognition

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

paddle

PArallel Distributed Deep LEarning

pix2pix

Image-to-image translation with conditional adversarial nets

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

saliency

Computing saliency map according to itti's '98 model