emqtt Reviews

Scikit-learn Reviews

emqtt mentions (5)

• Simplest Guide to DIY Your Own LLM Toy in 2024

  EMQX (optional): Open-source MQTT broker for IoT, IIoT, and connected vehicles. Used for managing your toys. - Source: dev.to / 2 months ago

• All right, which one of you did this?

  I do know a real world use for Erlang (it also surprised me when I investigated about it), but two of the biggest mqtt brokers are coded in erlang: emqx, vernemq. Source: about 1 year ago

• Comparing MQTT Brokers for the Industrial IoT

  EMQX is a 10-year-old open-source project under Apache License 2.0, with 11k stars on GitHub（https://github.com/emqx/emqx), 20M downloads on DockerHub (https://hub.docker.com/r/emqx/emqx), and 400+ paid customers worldwide. The Sweden address you mentioned is only the registered address of our Sweden entity. We’re a globally distributed team. EMQX European R&D team members work remotely in Sweden, Germany, the UK,... Source: over 1 year ago

• Reaching 100M MQTT Connections with EMQX 5.0

  EMQX is an open-source, highly scalable, and distributed MQTT messaging broker written in Erlang/OTP that can support millions of concurrent clients. As such, there is a need to persist and replicate various data among the cluster nodes. For example: MQTT topics and their subscribers, routing information, ACL rules, various configurations, and many more. Since its beginning, EMQX has used Mnesia as the database... - Source: dev.to / almost 2 years ago

• EMQX made in China?

  EMQX(https://github.com/emqx/emqx) is an open-source project under Apache License 2.0, we don't think there are national borders for open source. The nature of its being open-source means it is developed, tested, and used by the open-source community worldwide. For a popular open-source project that has been downloaded by 15M times and adopted so widely globally for many years, it’s impossible to have a backdoor... Source: over 2 years ago

Scikit-learn mentions (28)

• 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 / 3 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 / 12 months 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

• Help on using R for Machine Learning?

  Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago