• Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 2 years ago
  • Updated over 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Code for paper on incorporating state of the art geospatial data sets on complex networks to predict disruptions stemming from cyberattacks on road network infrastructures

More Repositories

1

transformerQA-finetuning

Fine-tuning HuggingFace Transformer Question-Answering Models On Custom Data
Jupyter Notebook
24
star
2

DSPy-blog

A tutorial on DSPy and whether automated prompt engineering lives up to the hype
Jupyter Notebook
20
star
3

web-qa

Python
11
star
4

ChatGPT-API

A tutorial on the ChatGPI provided by OpenAI
Jupyter Notebook
6
star
5

RAG-From-Scratch

RAG is becoming the standard to customize the output of LLMs for domain specific applications with data. Learn how to build RAG applications from scratch.
Jupyter Notebook
6
star
6

self-RAG

A tutorial on Self-RAG.
Jupyter Notebook
6
star
7

Geospatial-Clustering

Evaluating clustering algorithms KMeans, DBSCAN, Hierarchical Agglomerative performance on geospatial data
Jupyter Notebook
5
star
8

openai-function-calling

A tutorial on the new OpenAI ChatGPT/GPT-4 function calling, which bridges the gap between deterministic and non-deterministic programming - leading to all sorts of possibilities
Jupyter Notebook
5
star
9

sumo-traffic-grids

Simulating traffic on grids using SUMO and Python
Python
4
star
10

PyTorch-Transfer-Learning

Deep Transfer Learning Tutorial in PyTorch on Animals-10 Dataset
Jupyter Notebook
3
star
11

pinecone-openai-tutorial

A tutorial on how to use a vector DB like Pinecone for querying custom docs for retrieval augmented generation
Jupyter Notebook
3
star
12

osmnx-edge-speeds

Obtaining road speeds corresponding to OSMnx urban road networks from the HERE traffic API
Jupyter Notebook
2
star
13

RAG-Doc-Parsers

This repository demonstrates different document parsing strategies for Retrieval-Augmented Generation (RAG) applications, focusing on parsing a table from the Amazon Q1 2024 financial report.
Jupyter Notebook
2
star
14

tracking-cars-highway

Modified Lucas-Kanade algorithm to detect and track cars
Python
1
star
15

fine-tune-transformer-classifier

Jupyter Notebook
1
star
16

Visualizing-YOLO-annotations

Visualizing YOLO annotations on an image (created in https://www.makesense.ai/)
Python
1
star
17

Manhattan-predicting-fragility

Prediction of speeds in Manhattan, and fragility of transportation network to collisions
Jupyter Notebook
1
star
18

upstash-vectordb-tutorial

A tutorial on how to use the Upstash vector DB for querying custom docs for retrieval augmented generation
Jupyter Notebook
1
star