Google Cloud TPU
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machine-learning in Python
python-recsys
Qubole
Amazon Forecast
Microsoft Recommendations API
BigML
Codacy
SonarQube
CodeClimate
CodeFactor.io
ESLint
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Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.
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Based on our record, Google Cloud TPU should be more popular than Codacy. It has been mentiond 17 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.
I think the third company (likely Google) is going to make LLMs financially feasible with: - dedicated hardware (https://cloud.google.com/tpu) - optimized models (https://research.google/blog/turboquant-redefining-ai-efficiency-with-extreme-compression/). - Source: Hacker News / 3 months ago
Previous TPU generations, including last year's Ironwood, were pitched as unified flagship chips. Google's internal experience running Gemini, its consumer AI products, and increasingly complex agent workloads apparently showed that a single architecture forces uncomfortable trade-offs. So they split the roadmap. - Source: dev.to / 4 months ago
Tensor Processing Units are a technology developed and owned by Google. While you can find GPUs in every cloud provider offer, the TPUs are currently only available through Google Cloud Platform. Situation when you invest in a technology or a service that is not available anywhere else is called vendor lock-in โ it's something the sales people love, while customers try to avoid it. What does this look like for... - Source: dev.to / 4 months ago
Google's model is cloud-based. You can't buy a TPU to put in your server. Instead, Google keeps them in their own data centers and rents access exclusively through this. This allows Google to control the entire stack and they don't have to pay the "NVIDIA Tax". - Source: dev.to / 7 months ago
While I don't use Gemini, I'm betting they'll end up being the cheapest in the future because Google is developing the entire stack, instead of relying on GPUs. I think that puts them in a much better position than other companies like OpenAI. https://cloud.google.com/tpu. - Source: Hacker News / 8 months ago
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 4 years ago
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: about 5 years ago
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / over 5 years ago
Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / over 5 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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.
machine-learning in Python - Do you want to do machine learning using Python, but youโre having trouble getting started? In this post, you will complete your first machine learning project using Python.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
python-recsys - python-recsys is a python library for implementing a recommender system.
CodeFactor.io - Automated Code Review for GitHub & BitBucket
