GitLab Reviews

1. Reinhard

   | Boss at CLOUD Meister | over 3 years ago
   perfect for Freelancers!

Scikit-learn Reviews

GitLab mentions (114)

• Go's old $GOPATH story for development and dependencies

  Yeah, I'm actually doing that with Gitea: https://about.gitea.com/ Some people went with the forgejo fork: https://forgejo.org/ though Gitea itself was a fork of Gogs, if I remember correctly: https://gogs.io/ I also ran GitLab in the past: https://about.gitlab.com/ but keeping it updated and giving it enough resources for it to be happy was troublesome. There's also GitBucket: https://gitbucket.github.io/ and... - Source: Hacker News / about 1 month ago

• OpenProject – open-source project management software

  GitLab (more than just issues): https://about.gitlab.com/. - Source: Hacker News / about 2 months ago

• Kubernetes CI/CD Pipelines

  GitLab is one of the most popular all-in-one software delivery platforms. It includes source management and CI/CD functions with excellent Kubernetes integration. - Source: dev.to / 3 months ago

• The Essential Guide to Internal Developer Platforms

  Seamlessly integrate with tools like GitHub, GitLab, and CI/CD pipelines. - Source: dev.to / 4 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Gitlab.com — Unlimited public and private Git repos with up to 5 collaborators. Also offers the following features : CI/CD (Free for Public Repos, 400 mins/month for private repos) Static Sites with GitLab Pages. Container Registry with a 10 GB limit per repo. Project Management and issue Tracking. - Source: dev.to / 5 months ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 19 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago