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
A tool for extracting plain text from Wikipedia dumps
A Large Scale Text Summarization Dataset
Wikipedia Data Mining
Estimating stock price correlations using Wikipedia
Uses NLP and wikipedia to try to generate trivia questions
Very Simple Question Answer System using Chinese Wikipedia Data
A large annotated semantic parsing corpus for developing natural language interfaces.
A dataset of complex questions on semi-structured Wikipedia tables
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
Winograd minimal convolution algorithm generator for convolutional neural networks.
Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)
Code for "Smaller Text Classifiers with Discriminative Cluster Embeddings" (NAACL 2018)
Word Level RNN for text generation using keras
Incorporating Glosses into Neural Word Sense Disambiguation
Gaussian word embeddings
word2vec Google News model
Exploring word2vec embeddings as a graph of nearest neighbors
word2vec uisng keras inside gensim
Recommendation engine based on contextual word embeddings
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
Using pre trained word embeddings (Fasttext, Word2Vec)
WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clustering.
The official Twitter plugin for WordPress. Embed Twitter content and grow your audience on Twitter.
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations (ACL2015)
An R package for creating and exploring word2vec and other word embedding models
Repo for exploring Word2Vec and Doc2Vec
An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
Print WordPress posts as PDF. Optional with Geshi highlighting.
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.