Code GPT Reviews

Scikit-learn Reviews

Code GPT mentions (4)

• Azure GPT-4 for AI pair programming

  Is there a way to use Visual Studio Code and a co-pilot AI tool to help with pair programming ? Github Co-pilot needs to pay. What about codegpt.co ? Does this work. Any suggestions ? Source: 7 months ago

• FileGPT: Start a conversation with PDF, Docx, txt or CSV files

  I work all the code with the Code GPT extension to create and learn code. You can review it at this link: https://codegpt.co. Source: over 1 year ago

• Any tips on reducing the OpenAI costs?

  1- improve your prompts 2- use “embedding” for large texts 3- train your own model with fine tuning to get better completions 4- try others providers like Cohere or AI21 5- you could test diferente prompts and providers with this Visual Studio Code extension https://codegpt.co. Source: over 1 year ago

• Code GPT extension is about to reach 100,000 installations in the first month of its release.

  Any suggestion for improvement is welcome. In this link, you can find the complete documentation: https://codegpt.co. Source: over 1 year 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 / 15 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