Open-source Python library enabling ML model inspection and interpretation.
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An open source Python library focused on outlier, adversarial and drift detection.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Instruct-tune LLaMA on consumer hardware.
Feel free to contribute and also submit your AI tools on for free.
Ambrosia helps you clean up your LLM datasets using other LLMs.
A Java Toolbox for Scalable Probabilistic Machine Learning.
Understand how large language models work under the hood.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
XAI — Company → News · API docs · · GitHub.
XAI — Company → News · · API console · GitHub.
As limitações da sensação tecnológica de 2023: o ChatGPT IAgora?
Machine Learning and Data Mining for Astronomy.
An overview of the current attack techniques on LLMs by Marcello Carboni.
Analytical A.I. for authors, not generative — it reviews your manuscript in minutes, comparing plot, pacing, &characters to bestsellers.
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
AutoML framework & toolkit for machine learning on graphs.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
AutoKeras goal is to make machine learning accessible for everyone.
Automated Social Science: Language Models as Scientist and Subjects NBER provides machine-learning models, research, training resources, or…
A Blog post by Daniel Huynh on Hugging Face.
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
A curated list of machine learning models in CoreML format.