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Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
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Tensor Trust is a GitHub repository or organization with source code, releases, documentation, or project resources.
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List of awesome compiler projects and papers for tensor computation and deep learning.
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A list of all things related to TensorFlow.
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Inference engine for TensorRT on Nvidia GPUs.
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Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
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Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
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A fast Clojure Tensor & Deep Learning library.
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Deep learning in Rust, with shape checked tensors and neural networks.
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Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
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Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
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Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
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A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
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A TensorFlow implementation of the Mnemonic Descent Method.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Natural Adversarial Language Processing framework built over Tensorflow.
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A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
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Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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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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TensorFlow's Visualization Toolkit.
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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.