Saeed Kasmani's Projects
How do we process data in different formats like docx, pdf etc and generate insights to be linked with structured data in database?This pattern helps in establishing relations between structured & unstructured data to generate recommendations using Watson NLU & Watson Studio.
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
This project facilitates conversational interaction with any public GitHub repository utilizing advanced technologies such as IBM WatsonX, Langchain, FAISS vector database, and Streamlit.
Operator to install IBM Common Services
IBM Generative AI Reflex App
For IBM Quantum Challenge Spring 2023
A python based client to simplify using IBM Watson Machine Learning Accelerator
This repo will develop and deploy an image segmentation model using Openshift platform.
This project is aimed to do various tasks related to image understanding and publish the solution as a Microservices with K8S..
Deploy an IMDB sentiment analysis model using kubernetes
Repository for storing IBM Industry Accelerator for Cloud Pak for Data artefacts
🎱 A demonstration of existing machine learning toolkits on Kubernetes
MLOps tutorial using Python, Docker and Kubernetes.
Resources associated with IBM Developer tutorial: Prepare and Deploy a Text Classification Model using Label Sleuth and the Watson NLP Library for embeddable AI
Library for Semi-Automated Data Science
⚡ Building applications with LLMs through composability ⚡
Licence plate recognition workshop
A working example of RAG using LLama 2 70b and Llama Index
LLM training code for MosaicML foundation models
Hackers' Guide to Language Models
LodeStar - Deployment Manifest
Small Vessel Detection from Synthetic Aperture Radar (SAR) Imagery using Deep Learning
Machine Learning on Kubernetes
Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Multiple Object Tracking for Military Vehicles.
CVNets: A library for training computer vision networks