skandavivek

DSPy-blog. A tutorial on DSPy and whether automated prompt engineering lives up to the hype

transformerQA-finetuning. Fine-tuning HuggingFace Transformer Question-Answering Models On Custom Data

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.

web-qa. Python

deep_research_context_engineering. Jupyter Notebook

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.

self-RAG. A tutorial on Self-RAG.

ChatGPT-API. A tutorial on the ChatGPI provided by OpenAI

Geospatial-Clustering. Evaluating clustering algorithms KMeans, DBSCAN, Hierarchical Agglomerative performance on geospatial data

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

sumo-traffic-grids. Simulating traffic on grids using SUMO and Python

IPO-Readiness-Langgraph-Agent. Jupyter Notebook

pinecone-openai-tutorial. A tutorial on how to use a vector DB like Pinecone for querying custom docs for retrieval augmented generation

PyTorch-Transfer-Learning. Deep Transfer Learning Tutorial in PyTorch on Animals-10 Dataset

osmnx-edge-speeds. Obtaining road speeds corresponding to OSMnx urban road networks from the HERE traffic API

Basic-RAG. An Introduction To Retrieval Augmented Generation (RAG) on PDF documents

upstash-vectordb-tutorial. A tutorial on how to use the Upstash vector DB for querying custom docs for retrieval augmented generation

fine-tune-transformer-classifier. Jupyter Notebook

Safegraph-OSMnx-HERE. 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

Visualizing-YOLO-annotations. Visualizing YOLO annotations on an image (created in https://www.makesense.ai/)

Manhattan-predicting-fragility. Prediction of speeds in Manhattan, and fragility of transportation network to collisions

tracking-cars-highway. Modified Lucas-Kanade algorithm to detect and track cars