Based on our record, PyTorch seems to be a lot more popular than cjdns. While we know about 108 links to PyTorch, we've tracked only 9 mentions of cjdns. 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
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 / 8 days ago
Oddly enough, sometimes, the best way to learn is by putting forth incorrect opinions or questions. Recently, while wrestling with AI project complexities, I pondered aloud whether all Docker images with AI models would inevitably be bulky due to PyTorch dependencies. To my surprise, this sparked many helpful responses, offering insights into optimizing image sizes. Being willing to be wrong opens up avenues for... - Source: dev.to / about 18 hours ago
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / about 1 month ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / 2 months ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 3 months ago
LibreMesh - An Open Source Sofware for Geek-free Mesh Community Networks.
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.
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.