CodeClimate
Codacy
SonarQube
ESLint
Coveralls
SensioLabs Insight
CodeFactor.io
Source-Navigator NG
PyTorch Lightning
Saturn Cloud
Hugging Face
Zerve AI
TensorFlow
DigitalOcean
Modal
Facebook.ai
CodeClimate PyTorch LightningNo features have been listed yet.
Based on our record, CodeClimate should be more popular than PyTorch Lightning. It has been mentiond 19 times since March 2021. 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.
Automated analysis tools: SonarQube, CodeClimate, and Codacy detect code-level debt automatically: cyclomatic complexity, code duplication, dependency staleness, and coverage gaps. These tools supplement but don't replace the architectural and business-logic debt that requires human judgment to identify and document. - Source: dev.to / about 2 months ago
CodeClimate and Codacy can generate before/after metrics for code quality that make the starting and ending states concrete rather than subjective. - Source: dev.to / about 2 months ago
CodeClimate quantifies maintainability so teams canโt hand-wave garbage away. - Source: dev.to / 9 months ago
Code Climate: Link - Automated code review and quality analysis for codebase health. - Source: dev.to / about 1 year ago
Use tools like SonarQube or CodeClimate to spot the high-risk 20%. Then fix one thing at a time not everything at once. This isnโt Dark Souls. - Source: dev.to / about 1 year ago
After making model training simpler with PyTorch Lightning, Lightning.AI is now tackling the next bottleneck โ inference. Their new managed service targets enterprises deploying LLMs and deep learning models at scale, emphasizing performance, cost-efficiency, and developer-friendly tooling. Platform: https://lightning.ai/. - Source: Hacker News / 9 months ago
It's very easy to get started, right in your Terminal, no fees! No credit card at all. And there are cloud providers like https://replicate.com/ that will let you use your LLM via an API key just like you did with OpenAI if you need that. You don't need OpenAI - nobody does. - Source: Hacker News / about 2 years ago
Https://see.stanford.edu/Course/CS229 Https://lightning.ai/ Https://www.youtube.com/watch?v=00s9ireCnCw&t=57s Https://towardsdatascience.com/. Source: over 2 years ago
There is already a ton of momentum around automating ML workflows. I would suggest you contribute to a preexisting project like, for instance, PyTorch Lightning or fast.ai. Source: over 4 years ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
ESLint - The fully pluggable JavaScript code quality tool
Zerve AI - What if Jupyter + Figma + VSCode had a baby?