Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An open source Python library focused on outlier, adversarial and drift detection.
A mod for the Discord Android App
Code and documentation to train Stanford's Alpaca models, and generate the data.
Instruct-tune LLaMA on consumer hardware.
Creates or edits images with generative models and visual controls.
Ambrosia helps you clean up your LLM datasets using other LLMs.
From-scratch Go port of tinygrad: a graph-rewrite ML compiler with reverse-mode autodiff and a WebGPU backend.
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.
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.
Creates or edits images with generative models and visual controls.
Audio generation using diffusion models, in PyTorch.
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.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Provide an input CSV and a target field to predict, generate a model + code to run it.
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.