github.com
Rails-like inflection library for Clojure and ClojureScript.
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indicodata.ai
Indico LLM Leaderboard provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
imean.ai
Plan smarter with iMean AI: your AI Trip Planner for cheap flights, hotels, and personalized itineraries.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
github.com
Julia-language backend combined with the Jupyter interactive environment.
igraph.org
igraph provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
icoloring.ai
iColoring provides machine-learning models, research, training resources, or evaluation tools.
icml.cc
International Conference on Machine Learning.
ibm.com
See how IBM Watson has advanced enterprise AI.
github.com
An open-source visual programming environment for battle-testing prompts to LLMs.
Creates, rewrites or summarizes written content with language models.
iamtrask.github.io
A machine learning craftsmanship blog.
github.com
Toolset for black-box hyperparameter optimisation.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
github.com
Distributed Asynchronous Hyperparameter Optimization in Python.
github.com
General Automated Machine Learning Framework.
github.com
A very simple wrapper for convenient hyperparameter optimization.
github.com
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
github.com
Platform for deploying your Machine Learning to production.
github.com
A framework for elegantly configuring complex applications.
github.com
"building applications with LLMs through composability".