sethips Goto Github PK

seaborn-visualization-titanic-dataset

secret-santa

A Secret Santa website hacked together in Meteor.js

secretpythonseminar

Python assignments for my friends who are learning to code.

securimage

PHP CAPTCHA Script

security-guide-for-developers

Security Guide for Developers (实用性开发人员安全须知)

selectize.js

Selectize is the hybrid of a textbox and <select> box. It's jQuery based and it has autocomplete and native-feeling keyboard navigation; useful for tagging, contact lists, etc.

self-driving-car

The Udacity open source self-driving car project

self-driving-car-1

Transfer learning for end to end autonomous driving using pre trained ResNet50 weights in google colab.

selfdrive

Autopilot written in Keras for Self Driving Cars

send-sms-online

Send text messages online to any mobile phone in the world.

sentence-inference

For every given pair of sentences -- (sentence-1, sentence-2), we need to determine if sentence-2 can be logically inferred given sentence-1.

sentiment-analysis-ign-data

Sentiment analysis on IGN data for Siraj's code challenge

sentiment-analysis-of-tweets-in-russian

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

sentiment-analysis-template

Build a deep learning model for sentiment analysis of IMDB reviews

sentiment-analysis-using-light-gbm-on-mothers-day-ml-challenge

Sentiment analysis using multi class labels

sentiment-classfication-on-prodcut-reviews

The aim of this challenge is to develop a sentiment classifier that can assign a large set of product reviews to the five levels of polarity of opinion as accurately as possible, given a small amount of labeled reviews and a large amount of unlabelled reviews. It is a multi-class classification task, where each product review is labeled with one of the five sentiment labels, which are strong negative, weak negative, neutral, weak positive, and strong positive

sentiment-classification-for-product-reviews

The aim of this project is to develop a sentiment classifier that can assign a large set of product reviews to the five levels of polarity of opinion as accurately as possible, given a small amount of labeled reviews and a large amount of unlabeled reviews. It is a multi-class classifcation task, where each product review is labeled with one of the five sentiment labels, which are strong negative, weak negative, neutral, weak positive, and strong positive.

sentiment_analysis

I have built a model which will predict the sentiment of movie reviews. I used Naive-Bayes, SVM, and RNN+LSTM based model to obtain really good result.

sentiment_analysis-1

From Sebastian Raschka's Python Machine Learning 2nd Edition

sentiment_analysis_fine_grain

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

sentimentanalysis

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

sentimentneuralnet

Neural Network for Sentiment Analysis

sentiwordnet

The SentiWordNet sentiment lexicon

sentweetbot

A Telegram Bot that will give you a sentiment score of a certain keyword.

seq2seqchatbots

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

sequence_labeling_example

A bidirectional LSTM example for sequence labeling.

sernadesigns-website

Simple website design for sernadesigns.com in Emberjs.

server-side-d3-poc

Trying out server-side D3 rendering with React 16

serverless-container-based-python-app-on-google-cloud-run

Serverless enables you to focus on code, not infrastructure. Deploy a Docker Container to Cloud Run using this series. Cloud Run is a service by the Google Cloud Platform.

serverless-handbook

A resource for frontend engineers to learn everything about modern backend development.