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show-me-the-code

Python 练习册，每天一个小程序

shufflenet_v2_pytorch_caffe

ShuffleNet-V2 for both PyTorch and Caffe.

spark

Mirror of Apache Spark

spark-example

spark mllib example

spark-lda

lda on spark

spectrallda-tensorspark

Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.

spider

spider based on scrapy

spring-mvc-showcase

Demonstrates the features of the Spring MVC web framework

springmvcdemo

This is a demo of my spring mvc project.

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

swem

The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"

taichi

The Taichi programming language

teamtalk

TeamTalk is a solution for enterprise IM

tencent-ml-images

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-1

使用谷歌开源的TensorFlow进行一系列的训练实践

tensorflow-deepfm

Tensorflow implementation of DeepFM for CTR prediction.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-exercises

TensorFlow Exercises - focusing on the comparison with NumPy.

tensorflow-helloworld

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tensorlayer

TensorLayer: A Versatile Deep Learning and Reinforcement Learning Library for TensorFlow

text-cleaner

simple text preprocessing tool

text_classification

all kinds of text classificaiton models and more with deep learning

text_simhash

simhash text similarity

textclassifier

Text classifier for Hierarchical Attention Networks for Document Classification

textcnn

text cnn tensorflow class

textrank

Python implementation of TextRank algorithm (https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf) for automatic keyword extraction and summarization using Levenshtein distance as relation between text units.