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environment-setup

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This GitHub repository provides a comprehensive guide on setting up a Conda environment tailored for Multi-Models or Large Language Models (LLMs). Whether you're working on machine learning projects, natural language processing, or any other data-intensive tasks, this environment setup ensures you have the necessary tools and dependencies in place.

  • Updated Sep 8, 2023

This repository hosts a robust development environment encapsulated in a VS Code dev container, streamlined for web development projects. The container configuration is tailored to provide a seamless and consistent development experience across different environments, ensuring that your focus remains on coding.

  • Updated Oct 16, 2023
  • Dockerfile

Tool provides a graphical user interface (GUI) for managing Python libraries, virtual environments, and project files. This tool integrates SQLite for library management and supports tasks such as creating virtual environments, managing files, installing libraries, and interacting with Django projects. It aims to streamline the development setup.

  • Updated Jun 23, 2024
  • Python

The purpose of this project is to leverage the power of Python, in conjunction with Jupyter Notebook, to integrate movie reviews from The New York Times with comprehensive movie details from The Movie Database (TMDB). This integration provides a holistic view of movies, combining critical reviews with detailed metadata.

  • Updated Apr 26, 2024
  • Jupyter Notebook

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