Shamshad M Khan (shamshad)

shamshad

Geek Repo

Company:CDC Labs

Location:USA

Home Page:http://www.cdclabs.com

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Shamshad M Khan's repositories

local-llms-analyse-finance

In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.

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ai4good-hackathon

DEEP BERLIN AI for Good Hackathon 2020

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ansible-basics

Learn Ansible

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asl-ml-immersion

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

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azimuth

Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.

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baal

Library to enable Bayesian active learning in your research or labeling work.

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causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

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Deploy-Deep-Learning-Models-TF-Serving-Docker

Official repository of "TensorFlow Serving with Docker for Model Deployment" Coursera Project

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deep-fake-detection-challenge

Facebook's Deep Fake Detection Challenge on Kaggle with AWS

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ds-content-interactive-jupyterlab-tutorial

A quick tutorial on how to use Jupyter Lab (the evolution of Jupyter Notebooks).

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flask-gpu-app

Example app that demonstrates how to run a Flask app with a free GPU using Google Colab and ngrok

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Flask-Salary-Predictor-with-Random-Forest-Algorithm

In this project, we are going to use a random forest algorithm (or any other preferred algorithm) from scikit-learn library to help predict the salary based on your years of experience. We will use Flask as it is a very light web framework to handle the POST requests.

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FlaskDS

Repo for flask API/Data Structures tutorial series

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FlaskSeries

This is the Code from my Flask Series - JimShapedCoding. Each Folder is a checkpoint where we stopped at that particular episode number

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hwchase17_langchain

⚡ Building applications with LLMs through composability ⚡

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kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

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vertex-ai-samples

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

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WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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