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Fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth.
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A Collection of Awesome Generative AI Applications.
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Example of how the neural network learns to predict the angle between two points created with Synaptic.
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Flexible, high-performance serving system for machine learning models.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
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Creates, rewrites or summarizes written content with language models.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Large Language Model Text Generation Inference.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Inference engine for TensorRT on Nvidia GPUs.
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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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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.
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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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Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
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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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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
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Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
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A neuro-symbolic framework for building applications with LLMs at the core.