shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
all kinds of text classificaiton models and more with deep learning
Reuters-21578 multi-class multi-label Classification with Keras
Text classification models. Used a submodule for other projects.
Python text summarization project for computer science M.Sc.
Demonstration of automated summary construction with a) Maximal Marginal Relevance (MMR) as the baseline approach with an aim to reduce redundancy while maintaining query relevance in re-ranking retrieved documents and b) the introduction of sentence salience to identify most important sentences in documents with degree-based approach called LexRank to compute centrality using the similarity graphs.
Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Applied attention on Sequence to Sequence model for the task of Text Summarizer using Tensorflow's raw_rnn. here, I haven't used Tensorflow's inbuilt seq2seq function. The reason behind is to apply attention mechanism manually.
Multiple implementations for abstractive text summurization , using google colab
supervised classification (implement feature generation: bag of words, TF-IDF)
Python library for advanced text mining
TextRank implementation for Python 3.
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.
Enrich documents with social fees. The code is adapted from Xu Chen's code.
TextSentimentClassification, using tensorflow.
2-d visualization of high-dimensional input: Python code for rendering t-SNE code with text labels for each point
Preparing a dataset for TensorFlow text summarization (TextSum) model.
Generating Dataset for Google's Text Summarization Code
Simple text LexRank text summarization in python
Text Summarization in Pytorch The aim of this project is to build a text summarizer that summarize Amazon Reviews.
Summarizes the given text using Lex Rank algorithm.
Automatic Text Summarization of a Single document
Implementation of the TextTiling algorithm for CS187
Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs
Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
Calculates and compares perceptual sound texture statistics
Theano code for experiments in the paper "A Hybrid Convolutional Variational Autoencoder for Text Generation."
Text vectorization tool to outperform TFIDF for classification tasks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.