cjdns Reviews

Scikit-learn 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: 11 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

Scikit-learn mentions (28)

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago

• Help on using R for Machine Learning?

  Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago