It used to be difficult to bring up this tool especially in a hosted Jupyter Notebook environment such as Google Colab, Kaggle notebook and Coursera's Notebook etc. In this tutorial, I will show you how seamless it is to run and view TensorBoard right inside a hosted or local Jupyter ...
Describe the bug I am trying to install the required libraries in a kaggle notebook: !pip install super-gradients==3.1.0 !pip install imutils !pip install roboflow !pip install pytube --upgrade !pip install torchinfo After installing whe...
1. Create a folder in your Google Drive 2. Create a Colaboratory file 3. Name your file, but make sure to keep the .ipynb — this is for iPython 4. Use GPU vs. CPU by going to: Edit > Notebook settings or Runtime>Change runtime type and select GPU as Hardware accelerator. 5....
Run LLaMA 3 locally with GPT4ALL and Ollama, and integrate it into VSCode. Then, build a Q&A retrieval system using Langchain, Chroma DB, and Ollama.
Store your OPENAI API Key in Kaggle Copy paste the code snippet at the bottom of the screen and add it to the first cell of your notebook. Also import time, os and json. This will be the final content of your first cell. the first cell of your personal ChatGPT notebook ...
Chart cells (DataLab only) can be used to create visualizations and quickly visualize Pandas dataframes. The runtime environment is responsible for executing the code in the notebook. The runtime environment can be configured to support different languages, including Python, R or SQL. The filesy...
The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat. I have been playing with the Titanic dataset...
Run PUDL Notebooks on Kaggle The easiest way to get up and running with these examples and a fresh copy of all the PUDL data is onKaggle. Kaggle offers substantial free computing resources and convenient data storage, so you can start playing with the PUDL data without needing to set up...
When you're working on a machine learning project, the most tedious steps are often data cleaning and preprocessing. Especially when you're working in a Jupyter Notebook, running code in many cells can be confusing. The Scikit-learn library has tools cal
I run the following code in kaggle for debug purpose. The command is run in a new notebook. %%bash Xvfb :99 & import -display :99 -window root screenshot.png But I get: The XKEYBOARD keymap compiler (xkbcomp) reports: Internal error: Could not resolve keysym XF86AudioPreset Internal ...