pytorch-lightning
chakra-ui
pytorch-lightning | chakra-ui | |
---|---|---|
19 | 344 | |
19,188 | 36,622 | |
- | 0.7% | |
9.9 | 9.0 | |
almost 2 years ago | 13 days ago | |
Python | MDX | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytorch-lightning
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Problem with pytorch lightning and optuna with multiple callbacks
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
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Please comment on my planned research project structure
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.
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Watch out for the (PyTorch) Lightning
Join their Slack to ask the community questions and check out the GitHub here.
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[P] Composer: a new PyTorch library to train models ~2-4x faster with better algorithms
Pytorch lightning benchmarks against pytorch on every PR (benchmarks to make sure that it is mot slower.
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[D] What Repetitive Tasks Related to Machine Learning do You Hate Doing?
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
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[D] Are you using PyTorch or TensorFlow going into 2022?
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
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[D] Colab TPU low performance
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.
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[D] How to avoid CPU bottlenecking in PyTorch - training slowed by augmentations and data loading?
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
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[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!
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
chakra-ui
- Ask HN: Features for GPU price-per-hour tracker for A100/H100s
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Exploring 5 Top UI Frameworks for React
1. Chakra UI
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React Component Libraries
Official Website: https://chakra-ui.com/
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Material UI vs. Chakra UI: Which One to Choose?
Discover Chakra UI: Chakra UI Documentation
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Chakra UI adoption guide: Overview, examples, and alternatives
Chakra UI is a popular React component library designed to speed up and simplify UI development. It provides a set of customizable and composable components that developers can easily integrate into their React applications.
- Tailwind Color Palette Generator
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Minified React error #426
This error related to the ReactMarkdown component and the useDisclosure hook in the @chakra-ui/react.
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Shoelace: A forward-thinking library of web components
We settled on Chakra (https://chakra-ui.com/). Although we also abandoned our ambitions of a Next.js migration, so... I guess it didn't really end up mattering all that much anyway.
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33 React Libraries Every React Developer Should Have In Their Arsenal
4.chakra-ui
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⚡Top GitHub Repositories for UI Components
🔍 Site ⭐ GitHub
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
mantine - A fully featured React components library
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
antd - An enterprise-class UI design language and React UI library
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
styled-components - Visual primitives for the component age. Use the best bits of ES6 and CSS to style your apps without stress 💅
fastai - The fastai deep learning library
Tailwind CSS - A utility-first CSS framework for rapid UI development.
composer - Supercharge Your Model Training
react-star-rating-input - React.js components for entering 0—N stars (N is 5 by default), or displaying 0—N stars
sparktorch - Train and run Pytorch models on Apache Spark.
Material UI - Ready-to-use foundational React components, free forever. It includes Material UI, which implements Google's Material Design.