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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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github.com
Open-source project that 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
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
github.com
Ambrosia helps you clean up your LLM datasets using other LLMs.
github.com
Instruct-tune LLaMA on consumer hardware.
github.com
Code and documentation to train Stanford's Alpaca models, and generate the data.
github.com
An open source Python library focused on outlier, adversarial and drift detection.
github.com
Open-source Python library enabling ML model inspection and interpretation.
github.com
Open-source project that 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
Easy way to turn any app into searchable data for LLMs.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
A comprehensive set of fairness metrics for datasets and machine learning models.
github.com
Open-source project that 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
Open-source project that 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
An Artificial Intelligence Automation Platform.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
A framework for performing reproducible AI and ML for Weights and Biases.
github.com
Open-source implementation of Google Vizier for hyper parameters tuning.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.