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pytorch/tnt

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pytorch.org/tnt↗

Tnt

A lightweight library for PyTorch training tools and utilities

Features

  • Deep Learning Ecosystems - Modular training and testing abstractions for PyTorch.

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  • Deep Learning Frameworks - Training and testing abstractions for PyTorch.
  • Machine Learning Frameworks - Training and testing abstractions for PyTorch.
  • 1,719 stars·302 forks·Python·16 views

    Star history

    Star history chart for pytorch/tntStar history chart for pytorch/tnt

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Projects sharing features with Tnt

    These projects share indexed features with Tnt. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • bsautermeister/tensorlightbsautermeister avatar

      bsautermeister/tensorlight

      11View on GitHub↗

      TensorLight - A high-level framework for TensorFlow

      Python
      View on GitHub↗11
    • autonomio/talosautonomio avatar

      autonomio/talos

      1,637View on GitHub↗

      Hyperparameter Experiments with TensorFlow and Keras

      Pythonartificial-intelligencedeep-learninghyperparameter-optimization
      View on GitHub↗1,637
    • batzner/tensorlmbatzner avatar

      batzner/tensorlm

      60View on GitHub↗

      Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow

      Python
      View on GitHub↗60
    • catalyst-team/catalystcatalyst-team avatar

      catalyst-team/catalyst

      3,376View on GitHub↗

      Accelerated deep learning R&D

      Python
      View on GitHub↗3,376
    Compare all 30 related projects→

    Frequently asked questions

    What does pytorch/tnt do?

    A lightweight library for PyTorch training tools and utilities

    What are the main features of pytorch/tnt?

    The main features of pytorch/tnt are: Deep Learning Ecosystems, Deep Learning Frameworks, Machine Learning Frameworks.

    Which projects share features with pytorch/tnt?

    Projects with overlapping indexed features include: cornellius-gp/gpytorch — GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process… bsautermeister/tensorlight — TensorLight - A high-level framework for TensorFlow. autonomio/talos — Hyperparameter Experiments with TensorFlow and Keras. catalyst-team/catalyst — Accelerated deep learning R&D. batzner/tensorlm — Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow. ctallec/pyvarinf — Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch.