roapple10,github

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

kubernetes-for-data-engineering

kubernetes-for-dataengineering

This repository contains the necessary configuration files and DAGs (Directed Acyclic Graphs) for setting up a robust data engineering environment using Kubernetes and Apache Airflow

looker-genai-extension

This is a Looker Extension to connect Looker with LLM models

machine-learning-course

:speech_balloon: Machine Learning Course with Python:

marketing-cohort-analysis-in-python

Marketing Cohort Analysis in Python

mm-cot

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

multimodal-recommender-systems-tutorials

A tutorial series by Preferred.AI

open-interpreter

OpenAI's Code Interpreter in your terminal, running locally

👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.

predicting-the-closing-stock-price-of-apple-using-lstm

In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.