NetBeans is a free and open source platform and integrated development environment (IDE).
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Pytorch
Score 9.3 out of 10
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Pytorch is an open source machine learning (ML) framework boasting a rich ecosystem of tools and libraries that extend PyTorch and support development in computer vision, NLP and or that supports other ML goals.
NetBeans is extremely user friendly and easy to start developing complex applications. Adding and configuring external libraries is much simpler than in Eclipse. It is highly cost effective and most of the latest framework based libraries required are automatically downloaded to the projects. The overall tool is also light weight and consumes less memory as compared to other competitor tools.
They have created Pytorch Lightening on top of Pytorch to make the life of Data Scientists easy so that they can use complex models they need with just a few lines of code, so it's becoming popular. As compared to TensorFlow(Keras), where we can create custom neural networks by just adding layers, it's slightly complicated in Pytorch.
NetBeans [should] work smoothly with systems having less RAM. Systems with less RAM face trouble with NetBeans.
File open history also requires improvement. Once NetBeans is restarted, all files are closed automatically and there is no shortcut to open last opened files.
Netbeans enhances my coding work, shows me where I have errors and helps find variable instances. I would be lost without find/replace in projects functionality as I use projects as templates for new projects. Occasionally the code hints aggravate me, but I understand that it is actually making me a better coder, working to get the 'green light' of a clean file with no errors or clumsy code.
The big advantage of PyTorch is how close it is to the algorithm. Oftentimes, it is easier to read Pytorch code than a given paper directly. I particularly like the object-oriented approach in model definition; it makes things very clean and easy to teach to software engineers.
NetBeans has a very strong user community. We can find solutions here for almost all the problems we face. In addition, we can forward NetBeans Support teams the problems we cannot solve. We can get quick feedback from the support teams, but I generally try to solve my problems by following the forums.
It works very smoothly as compared to other tools . The problem of restarting and reimporting the projects is not in the netbeans IDE . The front end development features are good . Netbeans connector is one of the best thing which enables us to deeply integrate netbeans IDE with google chrome browser
Pytorch is very, very simple compared to TensorFlow. Simple to install, less dependency issues, and very small learning curve. TensorFlow is very much optimised for robust deployment but very complicated to train simple models and play around with the loss functions. It needs a lot of juggling around with the documentation. The research community also prefers PyTorch, so it becomes easy to find solutions to most of the problems. Keras is very simple and good for learning ML / DL. But when going deep into research or building some product that requires a lot of tweaks and experimentation, Keras is not suitable for that. May be good for proving some hypotheses but not good for rigorous experimentation with complex models.
By working on Netbeans I just learned one more tool and can teach others about it. One should learn every tool so that it might help someday if another editor is not available and you have to use different software for your work.
Compiling code became easy as it is not a feature of normal text editors. Only IDE can do this.
