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arctic-capgen-vid

automatic video description generation with GPU training

arxivnotes

IssuesにNLP（対話関連多め）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．

cinc-challenge2017

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

csit6000

Group name: CSIT6000

deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

deep_learning

deep learning

faster-rcnn_tf

Faster-RCNN in Tensorflow

gold-miner

🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

keras

Deep Learning for humans

kvmemnn

Key value memory network implemented using keras

lectures

Oxford Deep NLP 2017 course

machine-learning

Basic algorithms about machine learnig

machinelearning

Basic Machine Learning and Deep Learning

machinelearningdemos

机器学习实例

nlp-learning-tutorials

opensfm

Open source Structure from Motion pipeline

optimizedafsa

Urban Taxi Intelligent Scheduling Based On Optimized Artificial Fish Swarm Algorithm

paddle

PArallel Distributed Deep LEarning （PaddlePaddle核心框架，高性能单机、分布式训练和跨平台部署）

santander-customer-transaction-prediction

2nd Place Solution 💰🥈

seq2seq_chatbot

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

short-text-classify

基于cnn+tensorflow实现的短文本分类

strainest

StrainEst - abundance estimation of strains

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow_poems

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

theanoconv3d2d

A Conv3D implementation for Theano based on Conv2d, so that it works on GPU

visionbase

Visionbase is a clean C implementation of lots image processing and recognition algorithms.

word2vec

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.