{"repo":"jim-schwoebel/allie","free":true,"listed":false,"github":"https://github.com/jim-schwoebel/allie","clone":"git clone https://github.com/jim-schwoebel/allie.git","description":"🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.","language":"Python","stars":153,"topics":["machine-learning","deep-learning","machine-learning-library","machine-learning-api","automl","tpot","data-augmentation","data-cleaning","datasets","machine-learning-models"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Allie Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototyping and easy-to-extend to your desired modeling strategy. Here are some things that Allie can do: - find and download datasets (for quick experiments) - annotate, clean, and/or augment audio, text, image, or video datasets (to prepare data for modeling) - featurize files using a standard format (via audio, text, image, video, or csv featurizers) - transform features (via scikit-learn preprocessing techniques) - visualize featurized datasets (via yellowbrick, scikit-learn, and matplotlib libraries) - train classification or regression machine learning models (via tpot, autokeras, autopytorch, ludwig, and 15+ other training scripts) - make predictions from machine learning models (with all models trained in ./models directory) - export data in .CSV file formats (for repeatable machine learning experiments across frameworks) - compress machine learning models for deployment (including repositories with readmes) You can read more about Allie in the wiki documentation. getting started (Mac or Linux) First, clone the repository: Set up virtual environment (to ensure consistent operating mode across operating systems). Now install required dependencies and perform uni","default_branch":null,"files":null,"tree":[],"storefront":"/r/jim-schwoebel","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/jim-schwoebel/allie/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}