cjdns VS Keras

cjdns Reviews

Keras Reviews

cjdns mentions (9)

• The Hidden World Of Dumps Store | CVV Shops: The Lucrative World of Credit Card Fraud!

  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: 10 months ago

• Question for Network Admins, do you use IPv6?

  One of my favorite projects in IPv6 space is the CJDNS project: LINK TO GITHUB. Source: about 1 year ago

• Tailscale/golink: A private shortlink service for tailnets

  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

• Ask HN: What's in Networking?

  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

• Ask HN: What should I do with my unused 1Gig internet?

  >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

Keras mentions (31)

• My Favorite DevTools to Build AI/ML Applications!

  As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 21 days ago

• Getting Started with Gemma Models

  After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 30 days ago

• How popular are libraries in each technology

  Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 11 months ago

• Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!

  I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago

• How to query pandas DataFrames with SQL

  Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago