Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.
Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
Try Retool free
Find Hidden Risks in Windows Task Scheduler
Free diagnostic script reveals configuration issues, error patterns, and security risks. Instant HTML report.
Windows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
...If you transition between aur helpers and did not install the devel package using yay at some point, it is possible it never got added to the cache. yay -Y --gendb will fix the current version of every devel package and start checking from there. Yay resolves all dependencies ahead of time. You are free to edit the PKGBUILD in any way, but any problems you cause are your own and should not be reported unless they can be reproduced with the original PKGBUILD. Yay uses git diff to display diffs, which by default tells less not to page if the output can fit into one terminal length. ...
Zero-config CLI for TypeScript package development
...TSDX will create a folder with the project template in it and install all dependencies. Once that's done, you're ready to rock. TypeScript, Rollup, Jest, ESlint, and all other plumbing are already set up with best practices. Just start editing src/index.ts (or src/index.tsx if you chose one of the React templates) and go.
DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can be used to easily build custom models. You can use any complex model with model.fit(), and model.predict(). Provide tf.keras.Model like interface for quick experiment. Provide tensorflow estimator interface for large scale data and distributed training. It is compatible with both tf 1.x and tf 2.x. With the great success of deep learning,DNN-based...