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Colab notebooks execute code on Google's cloud servers, meaning you can leverage the power of Google hardware, including GPUs and TPUs, regardless of the power of your machine. All you need is a browser.
Run ComfyUI with colab iframe (use only in case the previous way with localtunnel doesn't work) You should see the ui appear in an iframe. If you get a 403 error, it's your firefox settings or an extension that's messing things up. If you want to open it in another window use the link.
DeepFake. Deepfake is a technology that uses artificial intelligence to manipulate the appearance and voice of a person in a video. Roop uses a face swapping technique that replaces the original face in the video with the desired face, while preserving the facial expressions and movements.
This is a colab demo notebook using the open source project CorentinJ/Real-Time-Voice-Cloning to clone a voice. For other deep-learning Colab notebooks, visit tugstugi/dl-colab-notebooks . Original issue: https://github.com/tugstugi/dl-colab-notebooks/issues/18
Jun 22, 2021 · First we're going to get set up to run PySpark locally in a jupyter notebook on our laptop. This is my preferred environment for interactively playing with PySpark and learning the ropes. Then we're going to get up and running in PySpark as quickly as possible by reviewing the most essential functionality for working with dataframes and ...
Download the ipynb, which you want to convert, on your local computer. Run the code below to upload the ipynb. The html version will be downloaded automatically on your local machine.
Stable Diffusion Interactive Notebook 📓 🤖. A widgets-based interactive notebook for Google Colab that lets users generate AI images from prompts (Text2Image) using Stable Diffusion (by Stability AI, Runway & CompVis).
Download and preprocess COCO/2017 to the following format (required by od networks): dataset = { 'images' : A tensor of float32 and shape [1, height, widht, 3], 'images_info': A tensor of float32 and shape [1, 2] , 'bbox': A tensor of float32 and shape [1, num_boxes, 4],
Run in Google Colab: View on GitHub: Download notebook [ ] keyboard_arrow_down word2vec [ ] word2vec is not a singular algorithm, rather, it is a family of model architectures and optimizations that can be used to learn word embeddings from large datasets. Embeddings learned through word2vec have proven to be successful on a variety of downstream natural language processing tasks. Note: This tutorial is based on ...
The built model predicts new COVID-19 cases using the data range t − 5 to t − 1. Similarly, if new observed data in a range of t − 5 to t − 1 were input, it would be possible to predict COVID-19 cases in time t. We call this a One-Step prediction. This is a method to predict only one step ahead based on previous data.
