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www.kubeflow.org
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GenAI Use Cases | Kubeflow
… retrieval-augmented generation (RAG), fine-tuning large language models (LLMs), hyperparameter optimization, inference at scale, and evaluation, Kubeflow’s modular, Kubernetes-native archit…
langfuse.com
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Langfuse: Open Source Agent Evals & Observability
…g the best AI engineering platform Community Q&A threads Restrict models per AI Gateway key Call Google Vertex AI models through the AI Gateway Evaluate with Gemini decision models Terraform…
www.cip.org
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The Collective Intelligence Project
…nt benchmarks. Using AI-enabled deliberative tools, our community models platform lets communities create and refine AI models based on collectively-defined constitutions. If AI is going to …
jsr.io
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https://jsr.io/@am
…e is a collection of libraries designed to facilitate the creation and use of machine learning models 🤖. It includes tools for classification and regression. Showing 1 to 3 results, out of 3
keras.io
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KerasHub Modeling Layers
…ling layers are give keras.layers.Layer implementations for building blocks common to pretrained models. They can be used to create a new model from scratch, or to extend a pretrained model.
keras.io
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KerasHub Preprocessing Layers
…sing layers can be used to create custom preprocessing pipelines for pretrained models. Preprocessing layers are all compatible with tf.data, even when running on the jax and torch backends.
hoffmanlab.org
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Hoffman Lab: computational genomics
…learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biolog…
www.curotec.com
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Curotec Web Development and Software Services - Hire Us!
…d, no matter what your stack. We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed t…
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