Pinned Repositories
17LA01-scripts
The scripts required for the Source Control lab
ai4good-hackathon
DEEP BERLIN AI for Good Hackathon 2020
ansible-basics
Learn Ansible
asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
azimuth
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
baal
Library to enable Bayesian active learning in your research or labeling work.
causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
CCC
K16-dd-order-tracking
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.
shamshad's Repositories
shamshad/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.
shamshad/ai4good-hackathon
DEEP BERLIN AI for Good Hackathon 2020
shamshad/ansible-basics
Learn Ansible
shamshad/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
shamshad/azimuth
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
shamshad/baal
Library to enable Bayesian active learning in your research or labeling work.
shamshad/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
shamshad/data-cleaning-rmotr-freecodecamp
shamshad/data-science-course-structure
shamshad/Deploy-Deep-Learning-Models-TF-Serving-Docker
Official repository of "TensorFlow Serving with Docker for Model Deployment" Coursera Project
shamshad/Complete-Langchain-Tutorials
shamshad/data-science-on-aws
shamshad/ds-content-interactive-jupyterlab-tutorial
A quick tutorial on how to use Jupyter Lab (the evolution of Jupyter Notebooks).
shamshad/flask-gpu-app
Example app that demonstrates how to run a Flask app with a free GPU using Google Colab and ngrok
shamshad/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.
shamshad/FlaskDS
Repo for flask API/Data Structures tutorial series
shamshad/FlaskSeries
This is the Code from my Flask Series - JimShapedCoding. Each Folder is a checkpoint where we stopped at that particular episode number
shamshad/freecodecamp-intro-to-numpy
shamshad/freecodecamp-intro-to-pandas
shamshad/FreeCodeCamp-Pandas-Real-Life-Example
shamshad/hwchase17_langchain
⚡ Building applications with LLMs through composability ⚡
shamshad/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.
shamshad/now-experience-component-examples
shamshad/ollama-examples
shamshad/python-microservices
shamshad/RDP-Reading-Data-with-Python-and-Pandas
shamshad/react-crud
shamshad/SpringPetClinic
shamshad/vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
shamshad/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"