LicenseSpring
Quick License Manager
Labs64 NetLicensing
10Duke Enterprise
Keygen
Open iT LicenseAnalyzer
VIZOR
wyDay LimeLM
PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
NumPy
CUDA Toolkit
Pandas
Issuing and managing software licenses does not have to be difficult. LicenseSpring allows software vendors to control the state of their application according to their license agreements. It's easy to configure the simplest or the most complex license policies, and then use them as a template when issuing licenses.
Connections from the Software Vendor's client applications to our cloud based service is done through one of our SDKs or through the use of our RESTful APIs.
We also provide an end-user portal as well as a distributor portal to allow self-serve support, as well as aide in providing a mechanism to help vendors distribute their software through resellers.
LicenseSpring PyTorchNo features have been listed yet.
LicenseSpring's answer
We are a spin-off of PDF Pro Software Inc, a company that develops and commercializes PDF Editing software for desktop. Back in 2017, we were looking for a good, no-nonsense license manager on the market, and to our surprise we found two types of solutions: the first category were archaic but expensive incumbents such as Flexera or Thales who were not interested in creating modern user-friendly Licensing solutions. The other category were many startups, whom we did not trust to survive in the long run, and simply did not have the capabilities we needed. We decided to build our own licensing tool, and offer it initially for free to anyone who wanted to give us feedback. Today we boast over 1000 active accounts with vendors of all sizes and industries. Our goal is to be the best licensing API in the world.
LicenseSpring's answer
I think our ease of use, and our no nonsense approach to our customer support / client onboarding.
LicenseSpring's answer
Do not chose Licensespring if you would like to be price gouged by Flexera or Thales, as we are an order of magnitude cheaper since we charge based on usage, not based on licensed revenue.
Based on our record, PyTorch seems to be a lot more popular than LicenseSpring. While we know about 112 links to PyTorch, we've tracked only 5 mentions of LicenseSpring. 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.
User licenses (these are either machine based, or named user based, like having a unique user name). You'll need to build some type of license entitlement functionaly on your software, or integrate it with something like LicenseSpring. Source: about 1 year ago
If I were concerned about licensing, then I'm really not sure I'd put my faith into a library like thus - not least that if the app just shipped with the dll, then it could be swapped out in the blink of an eye with a stub. There's significantly more involved in managing this sort of thing that a simplistic library such as this can manage. Companies concerned with licensing usually do it because they're protecting... - Source: Hacker News / over 1 year ago
Hello, you can also try us out (licensespring.com), we're similar to the providers you mentioned. Source: almost 2 years ago
I found https://licensespring.com/ which sounds amazing but it seems once you apply it the code is still held locally even if the licence is not O.K., meaning it can still be reverse engineered. Source: almost 2 years ago
Take a look, might be suitable: https://licensespring.com/. Source: almost 2 years ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 16 days ago
Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository. - Source: dev.to / 15 days ago
PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 22 days ago
In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / 29 days ago
PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / about 1 month ago
Quick License Manager - Quick License Manager (QLM) is a license protection framework that creates professional and secure license keys to protect software against piracy.
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.
Labs64 NetLicensing - Monetize your digital products and services
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
10Duke Enterprise - Powerful cloud-based licensing solution designed for fast-growing software businesses looking to scale up software licensing & minimize friction.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.