Popular GitHub Repositories for Influence

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.

Text Encoders finally matter ?? - scale CLIP & LLM influence! + a Nerdy Transformer Shuffle node

? Influenciae is a Tensorflow Toolbox for Influence Functions

Social Network Analysis of Disinformation, Platforms, Freelancing around Amber Heard, Johnny Depp, Elon Musk - Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of abuse, bots, domestic abuse, coercive control, crime, & Hollywood Research. We want to Save Lives & Help partners

A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter.

Social Network Analysis of Disinformation, Platforms, Freelancing around Amber Heard Johnny Depp Elon Musk- Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of bots, cyberabuse, domestic abuse, coercive control, crime, & disinformation operations. We want to Save Lives & help partners

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)

Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling (official code repository)

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction

[IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, Bo Li

The Spotify Data Analysis Project showcases data's role in diverse fields, using Python and libraries like Pandas,Numpy,Seaborn and Matplotlib, within the Jupyter Notebook environment. It explores music-related datasets, highlighting data's influence on decisions, research, and prediction, while honing technical skills and industry insights.

Algorithms for online influence maximization

A project that tries to influence buying and selling of stocks using an algorithmic model built using an ensemble of KNN, Decision Tree, Random forest and SVM. The model depicts an ideal scenario for maximizing profits from a trade. A momentum strategy that is used to predict trading signal has been modelled based on a set of rules using various technical indicators

This project related to one of my B.Tech final year project that investigates the influence of linguistic and sentiment analysis features on detecting fake reviews in e-commerce (Amazon).

Neural network that predicts the number of wins for a baseball team based on the importance of different statistical categories and their influence on a team's success.

Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021)

Official implementation of "Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path" (ACL'21)

Code for paper: Regression as Classification: Influence of Task Formulation on Neural Network Features

A framework to provide robots with inner speech skill. This is a pioneristic approach for evaluating how inner speech could influence the human-robot interaction in a cooperative scenario