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Name: coredump
Type: User
coredump's Projects
rmb
TinyMind人民币编码识别比赛赛后分享（含文档,模型,代码,视频）https://www.tinymind.cn/competitions/47
rnn_text_classification
bidirectional rnn for text classification
searchengine
Search engine implementation
serank
An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed based on TF-Ranking.
short-text-summarization
LCSTS,ROUGE,short text summarization,NLG,seq2seq
short-video-classification
短视频分类项目
sift
Implementation of SIFT algorithm by Python
sptag
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
summarization
A sequence to sequence model for abstractive text summarization
tantan-recommendation-diversity
探探项目 - 提升推荐系统的推荐多样性
temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding.
tensorflow_object_tracking_video
Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
tensorflow_poems
中文古诗自动作诗机器人，屌炸天，基于tensorflow1.4 api，正在积极维护升级中，快star，保持更新！
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
text-summarization
Text Summarization using Pointer Attention Models
text-summarization-tensorflow
Tensorflow seq2seq Implementation of Text Summarization.
textclassificationimplement
’达观杯‘文本智能处理挑战赛，文本分类任务的实现，包括一些传统的监督学习算法和深度学习算法，主要基于sklearn/xgb/lgb/pytorch包实现。
tf-rnn-attention
Tensorflow implementation of attention mechanism for text classification tasks.
tf-text-classification
CNN and RNN with Attention for Chinese Text Classification in Tensorflow
tmn
Source code of TMN (Topic Memory Network)
transformer-kernel-ranking
TK & TKL - Efficient Transformer-based neural re-ranking models
tree_deep_model
Deep neural network model based on the tree
two-stream-action-recognition-keras
Two-stream CNNs for video action recognition implemented in Keras
two-stream-cnn
A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data
two-stream-cnn-1
Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D
ucf-101_video_classification
Classify UCF101 videos using one frame at a time with a CNN(InceptionV3)
ultra
Unbiased Learning To Rank Algorithms (ULTRA)
unbiased_lambdamart
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
video-classification-2-stream-cnn
Video Classification using 2 stream CNN
video-classification-action-recognition
some famous works and new content to be added
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