A comprehensive set of fairness metrics for datasets and machine learning models.
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Easy way to turn any app into searchable data for LLMs.
Turn live audio into stunning visuals.
Open-source Python library enabling ML model inspection and interpretation.
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.