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examples

example code for demoing features

exploring-t5

A repo to explore different NLP tasks which can be solved using T5

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

feature_learning

feature weight learning based off similarity based clustering

flan-t5-text-to-sql

The training code to finetune flan-T5 model with text to SQL task

forecasting_mutual_funds

This Project gives you an overall idea for Forecasting Mutual Funds

fuzzy_logic

A small project on fuzzy logic to analyse the academic performance of the student

get-things-done-with-prompt-engineering-and-langchain

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.

git-commands

A list of commonly used Git commands

git_2021

test

githu-demo

Simple Demo

hands-on-recommendation-systems-with-python

Hands-On Recommendation Systems with Python published by Packt

hello-

hello2

html-form-to-google-sheet

How to submit HTML forms to Google Sheets. (Updated for 2023 Script Editor)

intro-to-dl

Resources for "Introduction to Deep Learning" course.

jupyter-themes

Custom Jupyter Notebook Themes

kaggle-survey-salary-prediction

This is a data science project that uses survey responses from the 2018 Kaggle survey to train various machine learning models (linear regression, knn, gradient boosting, random forest) to make predictions on a respondent's Salary.

kerasquantilemodel

Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.

kmeans-feature-importance

The package inherets from sklearn.cluster.KMeans and can be used in the same way with the addition of feature_importances_ property

langchain-for-llm-application-development

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

langchain-tutorials

Overview and tutorial of the LangChain Library

large-language-model-notebooks-course

Practical course about Large Language Models.

lofo-importance

Leave One Feature Out Importance

machine-learning-for-cybersecurity-cookbook

Machine Learning for Cybersecurity Cookbook, published by Packt

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

machine-learning-with-python

Python code for common Machine Learning Algorithms

mlflow-titanic

A quick demo to show how MLflow works using the Titanic dataset.

mlresources

Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group.