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Awesome GitHub RepositoriesHigh-Level Wrapper Integrations
Interfaces that connect high-level API abstractions with low-level computational graph execution.
Distinct from TensorFlow: Distinct from general model conversion, as this focuses on the runtime connection between the API and the graph.
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Awesome High-Level Wrapper Integrations GitHub Repositories
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- tflearn/tflearn
tflearn/tflearn
9,579Ver en GitHubtflearn is a deep learning framework and high-level API wrapper for TensorFlow. It provides a toolkit for designing neural network architectures and a system for executing training loops and optimizing model weights across CPUs and GPUs. The project simplifies the process of building and training models through a modular interface and a high-level API for prototyping. It includes specialized utilities for deep learning visualization, allowing for the generation of graphical diagrams to analyze network structures, weights, gradients, and activations. The framework covers a broad range of capa
Connects high-level layers and trainers with low-level computational graphs to build complex machine learning workflows.
Pythondata-sciencedeep-learningmachine-learning
