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Name: Aditya Sinha
Type: User
Bio: Computer Science Undergrad at BITS Goa, India || ML and NLP Enthusiast
Location: Goa
Name: Aditya Sinha
Type: User
Bio: Computer Science Undergrad at BITS Goa, India || ML and NLP Enthusiast
Location: Goa
Personal Website
Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset
Pay "Attention'' to your Context when Classifying Abusive Language
tensorflow-as-gcn
This repository contains recent research on fake news.
This page is meant to provide current research updates on Polarization and Echo-chambers on Social Media. Unlike other survey pages, this site will focus on reproducible research along with code snippets.
The page lists recent research developments in the area of Stance Learning.
A Modular, Concurrent and Customizable Protocol Analyzer
LaTeX Template for Reports required of BITS Pilani students (Thesis, Practice School, PhD, Projects - Study, Lab, Design)
PS1 project- Development of a Chrome Extension for Tracking the Events on Chrome browser
Task-Based conversational agent using Seq2Seq and Retrieval model
A Chrome_Extension to open the first external link
AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
This repo contains implementation of different architectures for emotion recognition in conversations
Conversational Agent Implemented using Memory Networks for DSTC6 Challenge
Sentiment analysis on Twitter crypto corpus in Keras
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
Prediction of diabetes from the Pima Indians dataset using a multi-layer perceptron implemented in keras
Text pre-processing library for deep learning (Keras, tensorflow).
Keras tutorial for beginners (using TF backend)
TensorFlow examples
Topic Modelling for Humans
Repository for the Git Session organised by OSD Labs
Must-read papers on graph neural networks (GNN)
Google Research
links to conference publications in graph-based deep learning
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
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.