Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
Clarifai
MLKit
DeepPy
DeepSource
Codacy
CodeClimate
SonarQube
codebeat
CodeAnt AI
CodeMeter
DeepScan
DeepSource helps you automatically find and fix issues in your code during code reviews, such as bug risks, anti-patterns, performance issues, and security flaws. It takes less than 5 minutes to set up with your Bitbucket, GitHub, or GitLab account. It works for Python, Go, Ruby, Java, and JavaScript. It helps developers, who care about writing good code, and engineering teams save time in code reviews and systematically improve code quality and security.
DeepSourceBased on our record, Keras should be more popular than DeepSource. It has been mentiond 35 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.
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / about 1 year ago
If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and runningโan essential part of the startup hustle. - Source: dev.to / over 1 year ago
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / over 1 year ago
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / about 2 years ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 2 years ago
Navigate to deepsource.com in your browser. - Source: dev.to / 3 months ago
On the OpenSSF CVE Benchmark[1], Semgrep CE hits 56.97% accuracy vs our 81.21%, and nearly 3x higher recall (75.61% vs 26.83%). On when to run it, fair point. Autofix Bot is currently meant for local use (TUI, Claude Code plugin, MCP). We're integrating this pipeline into DeepSource[2], which will have inline comments in pull requests, that fits the QA/pre-merge flow you're describing. That said, if you're using... - Source: Hacker News / 7 months ago
Recently, there was a Java meetup held at work (Deepsource) where I gave my first ever talk, "How GraalVM improves Ruby". - Source: dev.to / over 3 years ago
Iโm talking about publishing list of top customers for a product. Letโs take a look at https://deepsource.io/ is it really used by NASA, Visa and so on? Do they really get their permission to use their logo and saying โhey, Visa is using our toolโ or it sits in their privacy policy or terms of service. Source: over 3 years ago
Code quality checks like DeepSource, SonarCloud etc. - Source: dev.to / over 3 years ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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.
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.
