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A framework for performing reproducible AI and ML for Weights and Biases.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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An Artificial Intelligence Automation Platform.
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An autoagentic AGI that is self-evolving and modular.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
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.
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A comprehensive set of fairness metrics for datasets and machine learning models.
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Open Diffusion Models for High-Quality Video Generation.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Easy way to turn any app into searchable data for LLMs.
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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.
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An open source Python library focused on outlier, adversarial and drift detection.
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A mod for the Discord Android App
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Code and documentation to train Stanford's Alpaca models, and generate the data.
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Instruct-tune LLaMA on consumer hardware.
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Creates or edits images with generative models and visual controls.
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Ambrosia helps you clean up your LLM datasets using other LLMs.
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Google Chart Tools AngularJS Directive Module
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From-scratch Go port of tinygrad: a graph-rewrite ML compiler with reverse-mode autodiff and a WebGPU backend.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.