PyTorch-NLP

What it does

PyTorch-NLP, or torchnlp for short, is a library of neural network layers, text processing modules and datasets designed to accelerate Natural Language Processing (NLP) research. Join our community, add datasets and neural network layers!

Basic Utilities for PyTorch Natural Language Processing (NLP) - PetrochukM/PyTorch-NLP

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  PyTorch Lightning2020 · pytorchlightning.ai · ▲79

  The light PyTorch wrapper for high-performance AI research

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  I stripped DALL·E Mini to its bare essentials and converted it to Torch2022 · github.com · ▲663

  min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch - kuprel/min-dalle

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  Allen NLP2017 · allenai.org · ▲72

  An open-source NLP research library, built on PyTorch

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  TorchTPUApr 2026 · cloud.google.com · ▲106

  Running PyTorch Natively on TPUs at Google Scale

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  TorchGAN – Research Framework for Modelling GANs Based on Pytorch2018 · github.com · ▲56

  Research Framework for easy and efficient training of GANs based on Pytorch - torchgan/torchgan

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  Torch Lens Maker – Differentiable Geometric Optics in PyTorch2025 · victorpoughon.github.io · ▲179

  Hello HN! For the past 6 months I've been working on an open source python library that implements differentiable geometric optics in PyTorch. It's very experimental still, but eventually the goal is to use it to design optical systems with a state of the art optimization framework and a beautiful code based API. Think OpenSCAD, but for optical systems. Not only is PyTorch's autograd an amazing general purpose optimizer, but torch.nn (the neural network building blocks) can be used pretty much out of the box to model an optical system. This is because there is a strong analogy to be made…

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