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Mighty Networks
UUKI Live
Bettermode
Discord
Nas.io
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TensorFlow
PyTorch
Keras
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Azure Machine Learning Service
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Circle.so
TensorFlowCircle.so is recommended for content creators, educators, coaches, and organizations seeking to build strong and interactive online communities. It's particularly beneficial for those who want to monetize their communities or create exclusive spaces for member interaction.
Based on our record, Circle.so should be more popular than TensorFlow. It has been mentiond 32 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.
Circle.so is a platform designed for online communities, with sub-groups, private spaces, etc. Ideal for creating private circles: you could set up an "Angular/React/AI circle" of 5 people and use Circle's functionalities to schedule meetings, chats, shared files. Advantage: more structured, ideal for your 5-person model. Limitation: may have a cost or require configuration. - Source: dev.to / 9 months ago
Https://cptsdfoundation.org/ has a group that you can interact with using https://circle.so/. Membership is 5 bucks a month, and to me, while I was using it, it was a very welcoming community. Source: over 2 years ago
Https://circle.so/pricing/ I would guess even if DDG protects your privacy, it would use information (perhaps search and or site history) the browser is broadcasting regardless to filter results it pipes to the end point. For example I never see quora results (honestly it's been some years so I'd forgotten they existed still) as some members in this thread were annoyed with and paid to be done with them ... Then... - Source: Hacker News / almost 3 years ago
What is the reason you are trying to go custom? https://circle.so this is probably the best platform I have seen. Big and small companies use it (even webflow) so it has great adoption works well. I would stay away from a custom solution when there are wonderful tools like circle out there. Source: about 3 years ago
I am also curious about the logistics of the club. It seems to be this: https://circle.so. - Source: Hacker News / about 3 years ago
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 4 months ago
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 3 years 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: about 4 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 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
Mighty Networks - Mighty Networks enables entrepreneurs, organizations, and companies to create and grow a community-powered brand.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
UUKI Live - UUKI helps you build meaningful relationships within your community through events, newsletters, and a community page
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Bettermode - Create community sites, code-free.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.