datasets
starter-workflows
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datasets | starter-workflows | |
---|---|---|
15 | 258 | |
18,345 | 8,389 | |
1.5% | 1.8% | |
9.5 | 8.3 | |
7 days ago | 7 days ago | |
Python | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
datasets
- 🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
- Mastering ROUGE Matrix: Your Guide to Large Language Model Evaluation for Summarization with Examples
- How to Train Large Models on Many GPUs?
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[D] Can we use Ray for distributed training on vertex ai ? Can someone provide me examples for the same ? Also which dataframe libraries you guys used for training machine learning models on huge datasets (100 gb+) (because pandas can't handle huge data).
https://huggingface.co/docs/datasets backed with an Arrow file or buffer
- Need help with a data science project
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Is there a text evaluation metric that does not need reference text?
I'm looking for an automatic evaluation metric that can score the first text higher (since it's more grammatically correct/better for other reasons). All the metrics for NLG I found require some reference text to match the generated text with, which I don't have.
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FauxPilot – an open-source GitHub Copilot server
And then pass that my_code.json as the dataset name.
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Hugging Face Introduces ‘Datasets’: A Lightweight Community Library For Natural Language Processing (NLP)
Code for https://arxiv.org/abs/2109.02846 found: https://github.com/huggingface/datasets
Quick Read | Paper | Github
- Datasets: A Community Library for Natural Language Processing
starter-workflows
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Most Useful CI/CD Tools for DevOps
GitHub Actions is a feature-rich CI/CD platform embedded within GitHub, enabling developers to automate, customize, and execute software development workflows directly in their repositories. An Action inside GitHub Actions is a discrete unit of automation that performs a specific task within a workflow. All the Actions are reusable, and there are many to choose from. You can even create your own reusable ones.
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Awesome GitHub Action Workflows
actions/starter-workflows
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Laravel code-quality tools
The real power of using PHP code-quality tools is when it’s added to your continuous integration process, which means it automatically checks the code every time someone makes a push or pull request to your project repo. In this section, we'll be looking at how to do just that. GitHub actions is available for free so we'll use it for demo purposes. Note that there are some limits to private repos, so set your test repo to public if you can.
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Elevate Your GitHub README Game
You can even automate the running of this script — hence the directory name automation — to happen every time the data changes, using GitHub Actions.
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GitHub Status Checks and Branch Protection Made Easy
# Based on https://github.com/actions/starter-workflows/blob/main/ci/node.js.yml name: CI on: pull_request: branches: - main jobs: ci: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - uses: actions/setup-node@v2 with: node-version: lts/* cache: 'npm' - run: npm ci - run: npm run build --if-present - run: npm test
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GitHub Actions for Perl Development
You might remember that I’ve been taking an interest in GitHub Actions for the last year or so (I even wrote a book on the subject). And at the Perl Conference in Toronto last summer I gave a talk called “GitHub Actions for Perl Development” (here are the slides and the video).
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How to Get Preview Environments for Every Pull Request
Preevy is designed to be easily run in CI/CD workflows, such as GH Actions, Circle CI and others.
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CI using GitHub Actions
I set out to add further development and contribution tools to my ez-txt2html converter. Specifically, I wanted to introduce an initial Continuous Integration workflow. For this, I used the “Python Application” workflow template in Github Actions to create a CI testing workflow that builds a Py v3.12 environments, builds the project dependencies, runs Flake8 linting and Black formatting and then subsequently runs PyTest using the test suites I’ve written previously.
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14 DevOps and SRE Tools for 2024: Your Ultimate Guide to Stay Ahead
GitHub Actions
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GitHub Actions Workflow
To start, I turned to the starter-workflows repository, a valuable resource housing diverse YAML files for various project types. My project being in .NET, I checked out the dotnet.yml file to get insights into the setup process. Understanding the YAML syntax and keywords like on, push, jobs, and steps is crucial for crafting an effective workflow. In my case, I wanted to the workflow to trigger "on" any "pushes" on the main branch. The job describes the specific task which can be given a name, and steps outline the necessary steps to run the job.
What are some alternatives?
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
argocd-image-updater - Automatic container image update for Argo CD
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
CppCon2020 - Slides and other materials from CppCon 2020
cypress-realworld-app - A payment application to demonstrate real-world usage of Cypress testing methods, patterns, and workflows.
NewPipe - A libre lightweight streaming front-end for Android.
edex-ui - A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.
nnn - n³ The unorthodox terminal file manager
first-contributions - 🚀✨ Help beginners to contribute to open source projects
Real_Time_Image_Animation - The Project is real time application in opencv using first order model
frankmocap - A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
react-native-dotenv - Load react native environment variables using import statements for multiple env files.