BoxyHQ
Auth0
Frontegg
Skyflow
Okta
Keycloak
CipherStash
Visual Studio Code
TensorFlow
PyTorch
Scikit-learn
Keras
OpenCV
IBM Watson Studio
Amazon SageMaker
Pega Platform
SaaS, Premium Self-Hosted, or FREE OSS Self-Hosted
Enterprise Single Sign On (SSO) SAML SSO enables a secure authentication via an organization’s Identity Provider (IdP), as opposed to users or IT admins managing thousands, of usernames and passwords. With our product SAML Jackson, enterprise users can access your product via one of their secure IdPs (like Okta, Microsoft Azure, AWS, etc), which manages access and security for the entire organization.
Directory Sync Organizations use directories from different providers to manage users and enforce their access to organization resources. By integrating our Directory Sync product into your solution you can activate and deactivate user accounts, create groups, and keep your app in sync with the user directory in real-time. Supports the SCIM 2.0 protocol.
Additionally, we offer Audit Logs to track critical events in your application and a Data Privacy Vault to safeguard sensitive data.
BoxyHQ TensorFlowBoxyHQ's answer
BoxyHQ stands out for its comprehensive suite of security building blocks tailored specifically for developers. With features like SAML/OIDC Single Sign-On (SSO) and Directory Sync with SCIM 2.0, BoxyHQ simplifies identity management and access control for B2B SaaS companies. Its focus on providing a seamless and customizable solution empowers developers to enhance security without compromising user experience. Additionally, BoxyHQ offers Audit Logs to track critical events within the product and a Privacy Vault, an API to protect sensitive data.
BoxyHQ's answer
BoxyHQ stands out for several reasons:
BoxyHQ's answer
BoxyHQ's primary audience encompasses:
BoxyHQ's answer
The inception of BoxyHQ is deeply linked with Deepak's journey as the former CTO of a cybersecurity scaleup. In his role, Deepak wrestled with the challenge of allocating resources to enterprise compliance features that diverged from their core value proposition. Alongside Sama, they witnessed the escalating tide of cyber crimes, compounded by the concerning statistic that around 70% of development teams often bypass essential security measures due to time constraints. Motivated by this shared purpose of bringing security earlier in the developer live cycle, they embarked on a mission to address these challenges head-on. BoxyHQ emerged as a solution designed to automate product security and provide low-code APIs for seamless integration, empowering developers to implement enterprise-compliant security measures effortlessly. Through BoxyHQ, Deepak and the team strive to alleviate the burden on development teams while fortifying organizations against the escalating threats posed by cyber crimes.
BoxyHQ's answer
We value the confidentiality of our large enterprise clients due to NDA agreements. However, some of our notable customers include Cal.com, Dub, Supademo, Spike, among many others.
BoxyHQ's answer
BoxyHQ uses the following technologies: - Next.js - PostgreSQL - Docker - Kubernetes
Based on our record, TensorFlow seems to be more popular. It has been mentiond 7 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.
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Frontegg - Elegant user management, tailor-made for B2B SaaS
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Skyflow - Skyflow’s data privacy vaults deliver security, compliance and governance via a simple API
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.