"building applications with LLMs through composability".
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A framework for elegantly configuring complex applications.
A very simple wrapper for convenient hyperparameter optimization.
General Automated Machine Learning Framework.
Distributed Asynchronous Hyperparameter Optimization in Python.
Toolset for black-box hyperparameter optimisation.
An open-source visual programming environment for battle-testing prompts to LLMs.
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Rails-like inflection library for Clojure and ClojureScript.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Framework to connect a flow of ML models by applying graph theory.
A toolkit to help understand models and enable responsible machine learning.
Notebooks and code for the book "Introduction to Machine Learning with Python".
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.