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transformerQA-finetuning
Fine-tuning HuggingFace Transformer Question-Answering Models On Custom DataDSPy-blog
A tutorial on DSPy and whether automated prompt engineering lives up to the hypeweb-qa
ChatGPT-API
A tutorial on the ChatGPI provided by OpenAIRAG-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.self-RAG
A tutorial on Self-RAG.Geospatial-Clustering
Evaluating clustering algorithms KMeans, DBSCAN, Hierarchical Agglomerative performance on geospatial dataopenai-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 possibilitiessumo-traffic-grids
Simulating traffic on grids using SUMO and PythonPyTorch-Transfer-Learning
Deep Transfer Learning Tutorial in PyTorch on Animals-10 Datasetpinecone-openai-tutorial
A tutorial on how to use a vector DB like Pinecone for querying custom docs for retrieval augmented generationosmnx-edge-speeds
Obtaining road speeds corresponding to OSMnx urban road networks from the HERE traffic APIRAG-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.tracking-cars-highway
Modified Lucas-Kanade algorithm to detect and track carsfine-tune-transformer-classifier
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 collisionsupstash-vectordb-tutorial
A tutorial on how to use the Upstash vector DB for querying custom docs for retrieval augmented generationLove Open Source and this site? Check out how you can help us