cjdns might be a bit more popular than TensorFlow. We know about 9 links to it since March 2021 and only 7 links to TensorFlow. 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.
This sub is not about TOR and all the seediness that goes on there but rather about creating darknets, by which we/they mean mesh networks and encrypted networks using tools like https://github.com/cjdelisle/cjdns/. Source: 11 months ago
One of my favorite projects in IPv6 space is the CJDNS project: LINK TO GITHUB. Source: about 1 year ago
From a purely networking perspective, there are far better solutions than tailscale. Have a look at full mesh VPNs like: https://github.com/cjdelisle/cjdns https://github.com/yggdrasil-network/yggdrasil-go https://github.com/gsliepen/tinc https://github.com/costela/wesher These build actual mesh networks where every node is equal and can serve as a router for other nodes to resolve difficult network topologies... - Source: Hacker News / over 1 year ago
I'm excited about P2P/decentralized/distributed overlay networks. Still catching up so would be grateful for tips on resources. Pinecone[0][1], newer initiative made by former Yggdrasil[2] maker(s). CJDNS[3]. AIUI CJDNS relies on intermediary high-uptime discoverable router nodes which is what is motivating Pinecone. POKT[4][5] to CJDNS seems like what Filecoin is to IPFS. I'm yet to get around to doing the... - Source: Hacker News / almost 2 years ago
>There's not some program you can "donate" bandwidth to and make money off of it. There is one: https://pkt.cash/ from the maker of https://github.com/cjdelisle/cjdns. - Source: Hacker News / over 2 years 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 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
LibreMesh - An Open Source Sofware for Geek-free Mesh Community Networks.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
GNUnet - GNUnet is a framework for secure peer-to-peer networking that does not use any centralized or...
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Freenet - Mae-enjoy mo na ang LIBRENG INTERNET ACCESS mula sa freenet! Ang libreng net na bet! freenet is an app where you can access the internet for free. Get 24/7 free access to our partner apps and sites. FREE INTERNET!
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.