ephemera
CoinBLAS
ephemera | CoinBLAS | |
---|---|---|
1 | 3 | |
0 | 21 | |
- | - | |
2.7 | 1.8 | |
8 months ago | almost 3 years ago | |
C++ | Jupyter Notebook | |
MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ephemera
-
Ask HN: What Are You Working On?
I wrote an in-memory, write-only caching library for C++:
https://github.com/ccapo/ephemera
I am planning on using it for a game server, to keep track of player scores.
CoinBLAS
-
The "missing" graph datatype already exists. It was invented in the '70s
When you consider that a graph and a matrix are isomorphic, doing vector matrix multiplication takes a vector with a set value, say row 4, and multiplies it by a matrix where row 4 has values present that represent edges to the nodes that are adjacent to it (ie "adjacency" matrix). The result is a vector with the next "step" in a BFS across the graph, do that in a loop and you step across the whole graph.
A cool result of this is, for example, taking an adjacency matrix and squaring it is the "Friend of a Friend" graph. It takes every node/row and multiplies it by itself, returning a matrix that are adjacent to the adjacencies of each node, ie, the friends (adjacencies of the adjacencies) of friends (adjacencies) of the nodes.
Deeper traversal are just higher nodes, a matrix cubed are the friends of the friends of the friends.
A picture is worth a thousand words, see figure 7 of this paper:
https://arxiv.org/pdf/1606.05790.pdf
Also check out figure 8, this shows how incidence matrices can work to represent hyper and multi graphs. An pair of incidence matrices reprsent two graphs, one from nodes to edges and the other from edges to nodes, these are n by m and m by n. When you multiply them, you get a square adjacency matrix that "projects" the incidence into an adjacency. This can be used to collapse hypergraphs into simple graphs that use different semirings to combine the multiple edges.
For some pretty pictures of this kind of stuff, check out CoinBLAS (note I am not a crypto-bro, it was just a very handy extremely large multi-graph that I could easily download in chunks to play with):
https://github.com/Graphegon/CoinBLAS/
-
Ask HN: What Are You Working On?
Python wrapper around The GraphBLAS API:
https://github.com/michelp/pygraphblas
For an upcoming paper we've open sourced using pygraphblas to analyse the bitcoin graph using the GAP benchmarks on a server with 1TB of RAM:
https://github.com/Graphegon/CoinBLAS
- Show HN: CoinBLAS – Bitcoin Analysis with the GraphBLAS
What are some alternatives?
Oat++ - 🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
Tasker - A commitment tracker desktop app that tracks the progress of your tasks with mouse, keyboard and audio hooks.
procedural-gl-js - Mobile-first 3D mapping engine with emphasis on user experience
covid_status
linaria - Zero-runtime CSS in JS library
roost - Proof of Concept for Eventsourced backend
cratetorrent - A BitTorrent V1 engine library for Rust (and currently Linux)
suncalc - A tiny JavaScript library for calculating sun/moon positions and phases.
LIPS - Scheme based powerful lisp interpreter in JavaScript
osmosis-js - JS reference implementation of Osmosis, a JSON data store with peer-to-peer background sync
io-ts - Runtime type system for IO decoding/encoding
slam-crappy - Navigation project for an indoor robot using a Raspberry Pi, Arduino by combining a camera/OpenCV and physical measurements from ultrasonic and single point lidar sensor.