raihan2108 Goto Github PK

2016-10-facebook-fact-check

Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."

aco_code

Here contains the code for "An Ant Colony Optimization Algorithm for Waste Collection Vehicle Routing with Time Windows, Driver Rest Period and Multiple Disposal Facilities" Before running the code please the read me file

ai-projects

Artificial Intelligence projects, documentation and code.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

bangla_wordembedding

boilerpipe

Automatically exported from code.google.com/p/boilerpipe

clique

Python implementation of the CLIQUE subspace clustering algorithm.

coarse-discourse

code2seq

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

combatingfakenews

This is the repository for the paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News" accepted as a full regular paper by SIGIR 2018

coupledgnn

CoupledGNN: Popularity prediction with Coupled Graph Neural Networks

covid-19-tweetids

The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.

cs5526_project

ctrl

Conditional Transformer Language Model for Controllable Generation

dafna-ea

Truth Discovery Models

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network

debate-datasets_naacl13

Create Debate Data Sets used in NAACL'13 paper “Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization”

deception-detection-on-amazon-reviews-dataset

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

deep-diffuse

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deephawkes

deepinf

DeepInf: Social Influence Prediction with Deep Learning

diffpool

discovering_strategic_behaviors

Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks (WWW 2020)

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

ember

erpp-rmtpp

A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.