Codeium
GitHub Copilot
Tabnine
ChatGPT
Safurai
MarsX
Cursor
TabbyML
Scale Nucleus
ML Image Classifier
Aquarium
Prodigy
mlblocks
PerceptiLabs
Machine Learning Playground
Roboflow Universe
Codeium
Scale NucleusCodeium is particularly recommended for software developers, coding enthusiasts, and teams looking to boost productivity and reduce the time spent on coding and debugging. It is suitable for beginners who need guidance, as well as experienced developers looking for efficiency enhancements.
Based on our record, Codeium seems to be a lot more popular than Scale Nucleus. While we know about 46 links to Codeium, we've tracked only 2 mentions of Scale Nucleus. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Codeium provides free AI code completion and chat for individual developers. It integrates with VS Code, JetBrains, Vim, Emacs, and a growing list of other editors. The completions are competitive with Copilot in quality for most standard tasks, and the free tier has no meaningful usage limits for individual use. - Source: dev.to / 3 months ago
Visit the official website at https://codeium.com Download the extension for your preferred code editor. Follow installation instructions to enable AI completions. Begin coding with AI-assisted suggestions immediately. - Source: dev.to / about 1 year ago
Codeium: Supports multiple editors and privacy-conscious teams. - Source: dev.to / about 1 year ago
The only workflow change was switching IDEs, from VSCode/Copilot to Windsurf/Cascade, as it was depicted as a more performant AI regarding the app context. - Source: dev.to / over 1 year ago
What started as a slow Friday turned into a productive coding session using Windsurf, Codeiums AI-powered IDE, to create a block thumbnail generator for Umbraco block editors. - Source: dev.to / over 1 year ago
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 4 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 5 years ago
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
ML Image Classifier - Quickly train custom machine learning models in your browser
Tabnine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.
Aquarium - Improve ML models by improving datasets theyโre trained on
ChatGPT - ChatGPT is a powerful, open-source language model.
Prodigy - Radically efficient machine teaching