Google Colab

Your Gateway to Effortless Setup and Powerful Tools for Python and Data Science Project — In the world of Python programming and data science, having a robust development environment is crucial. Enter Google Colab, a cloud-based platform that offers a seamless setup and a host of powerful tools for Python and data science projects. Setting up a Google Colab for Python or data science projects…

This is a workbook for the one who wants a quick start into PyTorch. What will be covered in this section? # Attributes `torch.ndim`, `tensor.shape`, `tensor.dtype`, `tensor.device` # Methods `torch.tensor()`, `scalar.item()`, `torch.rand()`, `torch.ones()`, `torch.zeros()`, `torch.zeros_like()`, `torch.ones()`, `torch.arange()`, `torch.ones_like()`, `tensor.type()` # Import PyTorch import torch # Scalar, Vector, Matrix, Tensor Creation. You will…

A Quick Introduction and Development Guide for 4-bit Quantization in Model Inference — In the past several months, LLMs (Large Language Models) have made a performance revolution in the field of natural language generation, but When we consider different technology domains within computer science, the biggest obstacle facing AI models is their expensive setup, mainly due to the high computational resources required. Running…

Using Java and Jupyter Notebooks(Google Colab) to calculate and visualize the Stochastic Oscillator. { "TABLE_OF_CONTENTS" : [ "The Stochastic Oscillator", "A Brief Introduction to Yahoo Finance", "Getting Started using Java and Google Colab", "Get Stock Price History…

Diffusion models are a type of generative model that can be used to create realistic images from text descriptions. They work by gradually adding noise to an image until it matches the description. In this blog post, I will discuss a new method for guiding to generate images more stable…

Data Manipulation with SQLite and Magic Commands in Google Colab Google Colab has become an indispensable tool for data scientists and machine learning practitioners. It provides a free, collaborative, and cloud-based environment to write and execute Python code. Yet, many users don’t realize that they can also use SQL, the…

Introduction Google Colab is a cloud-based Jupyter notebook environment. It offers developers a convenient and interactive platform to write, run, and share Python code. As an engineer, I often try to run the colabs shared by others to quickly experience new ideas. In these colabs, %cd and !cd commands are used…

In the realm of data analytics, Python has become a go-to programming language, offering a versatile toolkit for extracting insights from complex datasets. Combining the power of Python with the collaborative capabilities of Google Colab, data analysts can unlock a whole new level of efficiency and productivity. …

Google Colaboratory brings Jupyter Notebooks to your Drive data. — If you keep datasets in your Google Drive, then you won’t want to miss out on Google Colaboratory. “Colab” is a free Jupyter Notebook like hosting service built right inside the apps in your existing Google account. …