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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A comprehensive set of fairness metrics for datasets and machine learning models.
github.com
Open Diffusion Models for High-Quality Video Generation.
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
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
An open source Python library focused on outlier, adversarial and drift detection.
github.com
Code and documentation to train Stanford's Alpaca models, and generate the data.
github.com
Instruct-tune LLaMA on consumer hardware.
github.com
Creates or edits images with generative models and visual controls.
github.com
Ambrosia helps you clean up your LLM datasets using other LLMs.
github.com
From-scratch Go port of tinygrad: a graph-rewrite ML compiler with reverse-mode autodiff and a WebGPU backend.
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
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Approaching (Almost) Any Machine Learning Problem is a GitHub repository or organization with source code, releases, documentation, or project.
github.com
Creates or edits images with generative models and visual controls.
github.com
Audio generation using diffusion models, in PyTorch.
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
AutoML framework & toolkit for machine learning on graphs.
github.com
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
github.com
AutoKeras goal is to make machine learning accessible for everyone.