Yell
Puts Debuggerer
Yell | Puts Debuggerer | |
---|---|---|
- | 3,155 | |
312 | 91 | |
- | - | |
0.0 | 3.5 | |
over 1 year ago | 6 days ago | |
Ruby | Ruby | |
MIT License | 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.
Yell
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Tracking mentions began in Dec 2020.
Puts Debuggerer
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End-to-end MLOps CI/CD pipeline with Harness and AWS
GitHub Repository URL: Enter the URL to your fork of the demo repo, such as https://github.com/:gitHubUsername/mlops-creditcard-approval-model
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How to make a Lichess bot in Python
git reset -- lichess-bot git add . git commit -m "hosting" git remote add origin https://github.com/username/repository.git - CHANGE THIS git push --set-upstream origin master
- Top 10 Developer Communities You Should Explore
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GitHub: Create your own repository landscape ⭐️
git clone https://github.com/tungbq/repos.git cd repos ./generate_content.sh repository_list.txt
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Level Up Your Projects with GitHub Actions & CI/CD
GitHub, as one of the leading web-based Git repository hosting service, provides a powerful suite of CI/CD tools in the form of GitHub Actions. These are directly integrated into the platform which empowers developers to increase the speed, efficiency and reliability of delivering products. In this brief article, we will take a look at what CI/CD is, why we should use it, as well as some of its applications in my projects.
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Version Control: Git Basics
Head over to the GitHub website by clicking here, and register for an account.
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Github ARC Runners sur EKS - Assume roles
githubConfigUrl: "https://github.com/" githubConfigSecret: "pre-defined-secret" maxRunners: 100 runnerScaleSetName: "arc-runner-set-arm" template: metadata: annotations: karpenter.sh/do-not-disrupt: "true" spec: nodeSelector: kubernetes.io/arch: "arm64" serviceAccountName: arc-runner-base-role tolerations: - key: github/arm value: "true" effect: NoSchedule initContainers: - name: init-dind-externals image: ghcr.io/actions/actions-runner:latest command: ["cp", "-r", "-v", "/home/runner/externals/.", "/home/runner/tmpDir/"] volumeMounts: - name: dind-externals mountPath: /home/runner/tmpDir containers: - name: runner image: ghcr.io/actions/actions-runner:latest command: ["/home/runner/run.sh"] env: - name: DOCKER_HOST value: unix:///run/docker/docker.sock resources: requests: cpu: 1 volumeMounts: - name: work mountPath: /home/runner/_work - name: dind-sock mountPath: /run/docker readOnly: true - name: dind image: public.ecr.aws/docker/library/docker:dind args: - dockerd - --host=unix:///run/docker/docker.sock - --group=$(DOCKER_GROUP_GID) env: - name: DOCKER_GROUP_GID value: "123" securityContext: privileged: true volumeMounts: - name: work mountPath: /home/runner/_work - name: dind-sock mountPath: /run/docker - name: dind-externals mountPath: /home/runner/externals volumes: - name: work emptyDir: {} - name: dind-sock emptyDir: {} - name: dind-externals emptyDir: {} controllerServiceAccount: name: arc-gha-rs-controller namespace: arc-systems
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How To Create a Repository in GitHub
The first step is to create a GitHub account. You can do it here.
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My Favorite DevTools to Build AI/ML Applications!
Collaboration and version control are crucial in AI/ML development projects due to the iterative nature of model development and the need for reproducibility. GitHub is the leading platform for source code management, allowing teams to collaborate on code, track issues, and manage project milestones. DVC (Data Version Control) complements Git by handling large data files, data sets, and machine learning models that Git can't manage effectively, enabling version control for the data and model files used in AI projects.
- [Tutorial] Como usar o Git e GitHub
What are some alternatives?
Log4r - Log4r is a comprehensive and flexible logging library for use in Ruby programs. It features a heirarchical logging system of any number of levels, custom level names, multiple output destinations per log event, custom formatting, and more.
LogStashLogger - Ruby logger that writes logstash events
Semantic Logger - Semantic Logger is a feature rich logging framework, and replacement for existing Ruby & Rails loggers.
HttpLog - Log outgoing HTTP requests in ruby
Lograge - An attempt to tame Rails' default policy to log everything.
HttpLogger - Log your http api calls just like SQL queries
MongoDB Logger - MongoDB logger for Rails
Cabin - Structured+contextual logging experiments in Ruby
Logging - A flexible logging library for use in Ruby programs based on the design of Java's log4j library.
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)