[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning

Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)

Code to retrieve data for the programming languages influence visualizations from Freebase

XFlow - A Python Library for Graph Flow

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

Amber Heard Social Network Analysis of Disinformation/Influence Operations, Bots, & Crime Across-Platforms. - 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 part…

Social Power in the NBA (Comparing on the court performance with Social Influence in R and Python)

Find missing values in data set using Euclid distance, normalization and calculating information value, weight of evidence

I'm a curious person and analysing world news is fun. Here I'm gathering all my Gdelt-related projects.

Understanding game design inspiration of roguelike games via web scraping and network analysis.

Simple static heuristics for estimating influence maps on Go positions.

📗 Repo Template: Make Your GitHub Repos More Popular

A network-based approach to study swarm intelligence

Tiny Tutorial on https://arxiv.org/abs/1703.04730

AI - Influence map using a compute shader and async gpu readback

An exploration of historical data on US presidential elections

Twitter and Influence

🔌 How To Improve Professional Influence In Linkedin

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

An attempt at a glass pane through which to view the internals of power. 🪟