Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
A curated list of machine learning models in CoreML format.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
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.
AutoKeras goal is to make machine learning accessible for everyone.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
AutoML framework & toolkit for machine learning on graphs.
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
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.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Instruct-tune LLaMA on consumer hardware.
Code and documentation to train Stanford's Alpaca models, and generate the data.
An open source Python library focused on outlier, adversarial and drift detection.
Open-source Python library enabling ML model inspection and interpretation.
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.
Easy way to turn any app into searchable data for LLMs.