spacetime-reviews

Simple React app to demonstrate spatial and temporal functionality in Neo4j

spatial_data_analysis

Spatial Data Analysis using different statistical methods

spatialjoin-python

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

stargan

PyTorch Implemenation of "StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation"

stock2vec

Stock embeddings based on PE context

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stopwords

中文常用停用词表（哈工大停用词表、百度停用词表等）

syc

learn python

syc1

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-livelessons

"Deep Learning with TensorFlow" LiveLessons

tensorflow-on-raspberry-pi

TensorFlow for Raspberry Pi

tensorflow-rnn-events-prediction

Tensorflow Recurrent Neural Network (RNN) model to analyse Time Series in GDELT News dataset to predict future events.

tesla_stock_prediction

Using time series analysis and natural language processing to predict Tesla stock price changes

text-generation-using-bidirectional-lstm-and-doc2vec-models

Text Generation using Bidirectional LSTM and Doc2Vec models

text-mining

Code to extract keyterms, SVO patterns and sentences, build dependency networks and estimate sentiment in text documents.

text-network-analysis-a-concise-review-of-network-construction-methods

textfilter

敏感词过滤的几种实现+某1w词敏感词库

textgrapher

Text Content Grapher based on keyinfo extraction by NLP method。输入一篇文档，将文档进行关键信息提取，进行结构化，并最终组织成图谱组织形式，形成对文章语义信息的图谱化展示。

textinfoexp

文本处理实践课资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、话题检测与追踪，文本过滤技术，文档自动摘要，信息抽取，智能问答（QA），情感分析与观点挖掘等实验。

thulac-python

An Efficient Lexical Analyzer for Chinese

tiktok-scraper

TikTok Scraper. Download video posts, collect user/trend/hashtag/music feed metadata, sign URL and etc.

timeseriesanalysiswithpython

tomotopy

Python package of Tomoto, the Topic Modeling Tool

tool

开发效率提升：Mac生产力工具链推荐

top2vec

Top2Vec learns jointly embedded topic, document and word vectors.

topic-modeling-health-tweets

Exploration of Health-Related Tweets through Topic Modeling & Sentiment Analysis

topic_modelling_beyond_tokens

Investigating into how to extract meaningful topic names from textual data