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A comprehensive set of fairness metrics for datasets and machine learning models.
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.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
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 machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
Awesome Android Reverse Engineering is a GitHub repository or organization with source code, releases, documentation, or project resources.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
Curating a list of AutoML-related research, tools, projects and other resources.
A curated list of machine learning models in CoreML format.
GitHub list of deblurring methods, image-restoration tools, and visual enhancement resources.
Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.
Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
Curated list of ML related resources for Ruby.
Awesome Malware Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Curated list of specialized search engines for hackers, OSINT, security, and research work.