https://miguelvalente.xyz/projects/ Recent content in Projects on miguelvalente.xyz Hugo -- gohugo.io en-us Sun, 02 Jul 2023 17:04:05 +0200 https://miguelvalente.xyz/projects/gittocommito/ Sun, 02 Jul 2023 17:04:05 +0200 https://miguelvalente.xyz/projects/gittocommito/ Let GitoCommito commit for you Features Automatic Commit Generation: Generate commits based on your staged changes. Compliance with Conventional Commits: Adhere to the Conventional Commits standards without memorizing the conventions. Integration with OpenAI: Leverages the power of OpenAI’s language model to create meaningful commit messages. Getting Started Install the extension from the Visual Studio Code marketplace. Set your OpenAI key by calling GitoCommito: Set OpenAI Key in the VS Code command palette (Cmd/Ctrl + Shift + P to open the command palette). https://miguelvalente.xyz/projects/imagemangler/ Wed, 12 Apr 2023 21:03:35 +0200 https://miguelvalente.xyz/projects/imagemangler/ Image Mangler is a command-line tool to deteriorate an image iteratively using lossy algorithms. Installation You can install Image Mangler via pip: pip install imagemangler Usage You can run Image Mangler by invoking the imagemangler command in the terminal, followed by the path of the image file you want to mangle: imagemangler path/to/image.jpg By default, Image Mangler will automatically mangle the image across all quality steps with a base quality of 70 and a quality step of 2. https://miguelvalente.xyz/projects/whisperer/ Wed, 15 Mar 2023 16:05:49 +0100 https://miguelvalente.xyz/projects/whisperer/ Go from raw audio files to a speaker separated text-audio datasets automatically. Linked image: Table of Contents Summary Key Features Instalation How to use: Using Multiple-GPUS Configuration To Do Acknowledgements Summary This repo takes a directory of audio files and converts them to a text-audio dataset with normalized distribution of audio lengths. See AnalyzeDataset.ipynb for examples of the dataset distributions across audio and text length