General Automated Machine Learning Framework.
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Distributed Asynchronous Hyperparameter Optimization in Python.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
Toolset for black-box hyperparameter optimisation.
An open-source visual programming environment for battle-testing prompts to LLMs.
Julia-language backend combined with the Jupyter interactive environment.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
Creates or edits images with generative models and visual controls.
Rails-like inflection library for Clojure and ClojureScript.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Notebooks and code for the book "Introduction to Machine Learning with Python".
Autograd and XLA for high-performance machine learning research.
A python library for doing approximate and phonetic matching of strings.
A project to make it easier to use large external knowledge bases with LLMs.
Chinese Words Segmentation Utilities.
Chinese Words Segmentation Utilities.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
Jupyter notebook is a web-based notebook environment for interactive computing.
A collection of pre-trained StyleGAN 2 models to download.
Code for the Kaggle acquire valued shoppers challenge.
Winning solution for the Galaxy Challenge on Kaggle.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.