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0_llm-based_entity_extraction_cysec

We use LLMs to extract relevant knowledge entities from cybersecurity-related texts. We use a subset of arXiv preprints on cybersecurity as our data and compare different LLMs in terms of entity recognition (ER) and relevance. The results suggest that LLMs do not produce good knowledge entities that reflect the cybersecurity context.

advanced-deep-learning-with-r

Advanced Deep Learning with R, published by Packt

alpha

bc5cidtask

chemical disease relation extraction via maximum-entropy classifiers

bplus-tree

B+ tree implementation in C

btree

Fast sorted collections for Swift using in-memory B-trees

c-store

C-Store : A column-oriented DBMS prototype (frozen)

ccwt

Complex Continuous Wavelet Transform

csci-e-96

Repository for CSCI-E-96 Data Mining and Exploration Course

csci-e25

Course materials for Harvard Extension School computer visions course, CSCI E-25

csci-s-101

ML stuff

ctab-gan

Official git for "CTAB-GAN: Effective Table Data Synthesizing"

cwt-tensorflow

Continuous wavelet transform (CWT) in tensorflow

cxxmatrix

C++ Matrix: The Matrix Reloaded in Terminals (Number falls, Banners, Matrix rains, Conway's Game of Life and Mandelbrot set)

dashboard

General-purpose web UI for Kubernetes clusters

db_tutorial

Writing a sqlite clone from scratch in C

decisiontree

c++ implementation of decision tree algorithm

demo-news-recommendation

Exploring News Recommendation With Neo4j GDS

demo-repo_

demo.repo

Just a practice space

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffusion

From-scratch diffusion model on MNIST implemented in PyTorch.

e-graphsage

A PyTorch implementation of of E-GraphSAGE.

e-resgat

The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.

entropy-based-image-classification

Classification of images based on Shannon's and Renyi's entropy

fcc-intro-to-llms

flowgan

基于GAN的流报文生成

gameoflife

Example code in Swift for Conway's Game of Life.

gds-webinar-scale-demo

Demo for GDS 2022 February Webinar

genetic-algorithm

Simple implementation of a genetic algorithm to solve a linear regression problem.