Pytorch-lightning Alternatives

pytorch-lightning reviews and mentions

• Problem with pytorch lightning and optuna with multiple callbacks
  1 project | /r/pytorch | 11 May 2023

  def on_validation_end(self, trainer: Trainer, pl_module: LightningModule) -> None: # Trainer calls `on_validation_end` for sanity check. Therefore, it is necessary to avoid # calling `trial.report` multiple times at epoch 0. For more details, see # https://github.com/PyTorchLightning/pytorch-lightning/issues/1391. if trainer.sanity_checking: return

• Please comment on my planned research project structure
  1 project | /r/learnpython | 7 Jun 2022

  Under the hood, the ModelWrapper object will create a ML model based on the config (so far, an XGBoost model and a PyTorch Lightning model). Each of those will have a wrapper that conducts training and evaluation (since from my understanding of Lightning, Trainers are required to be outside of the class). In lack of a better name, I call these wrappers Fitters. For uniformity, I thought about adding a common interface IFitter, which is inherited by all model wrappers as outlined below.

• Watch out for the (PyTorch) Lightning
  1 project | dev.to | 2 May 2022

  Join their Slack to ask the community questions and check out the GitHub here.

• [P] Composer: a new PyTorch library to train models ~2-4x faster with better algorithms
  7 projects | /r/MachineLearning | 16 Mar 2022

  Pytorch lightning benchmarks against pytorch on every PR (benchmarks to make sure that it is mot slower.

• [D] What Repetitive Tasks Related to Machine Learning do You Hate Doing?
  4 projects | /r/MachineLearning | 21 Feb 2022

  There is already a ton of momentum around automating ML workflows. I would suggest you contribute to a preexisting project like, for instance, PyTorch Lightning or fast.ai.

• PyTorch Lightening
  1 project | news.ycombinator.com | 10 Feb 2022
• [D] Are you using PyTorch or TensorFlow going into 2022?
  6 projects | /r/MachineLearning | 14 Dec 2021

  Is the problem the sheer number of options, or the fact that they are all together in one place? Would it be better if they were organized into the different trainer entrypoints (fit, validate, ...)? If that is the case, there was an RFC proposing this which you might find interesting, feel free to drop by and comment on the issue: https://github.com/PyTorchLightning/pytorch-lightning/issues/10444

• [D] Colab TPU low performance
  2 projects | /r/MachineLearning | 18 Nov 2021

  I wanted to make a quick performance comparison between the GPU (Tesla K80) and TPU (v2-8) available in Google Colab with PyTorch. To do so quickly, I used an MNIST example from pytorch-lightning that trains a simple CNN.

• [D] How to avoid CPU bottlenecking in PyTorch - training slowed by augmentations and data loading?
  2 projects | /r/MachineLearning | 10 Nov 2021

  We've noticed GPU 0 on our 3 GPU system is sometimes idle (which would explain performance differences). However its unclear to us why that may be. Similar to this issue

• [P] An introduction to PyKale https://github.com/pykale/pykale​, a PyTorch library that provides a unified pipeline-based API for knowledge-aware multimodal learning and transfer learning on graphs, images, texts, and videos to accelerate interdisciplinary research. Welcome feedback/contribution!
  2 projects | /r/MachineLearning | 25 Apr 2021

  If you want a good example for reference, take a look at Pytorch Lightning's readme (https://github.com/PyTorchLightning/pytorch-lightning) It answers the 3 questions of "what is this", "why should I care", and "how do i use it" almost instantly

• A note from our sponsor - InfluxDB
  www.influxdata.com | 14 May 2025

  InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now. Learn more →