metacademy-application

> It's basically one big graph of concepts True that. I have created a bunch of concept maps for my books in order to show readers this graph. It's really useful to find your way in a new field, to keep track of your progress, and also to look ahead into the the concepts that are coming up. Here are the links to the concept maps: High school math: https://minireference.com/static/conceptmaps/math_concepts.p... Mechanics and calculus: https://minireference.com/static/conceptmaps/math_and_physic... Linear algebra: https://minireference.com/static/conceptmaps/linear_algebra_... For an even better UI, there is the browsing interface in metacademy.org, which dynamically hides nodes and shows you only the prerequisites needed to learn a concept: https://metacademy.org/graphs/concepts/complex_vectors_and_m... This project is not actively mainta

Displaying graph data in a user-friendly way is indeed a challenge. The nicest user interface I've seen is on metacademy "explore" views: https://metacademy.org/graphs/concepts/bayesian_logistic_reg... and src code for the graph view is here: https://github.com/metacademy/metacademy-application/blob/ma... they do some clever hiding of edges so graph is not overwhelming, but still only O(100) nodes.... for O(100k) nodes you'll need to do some selection for sure ;)

Very interesting. I always thought of knowledge as a graph (as opposed to a document or a tree), and browsing the graph of knowledge will be really useful for learners. I think the obstacle is more on the authoring side (how to build/edit graphs as easily as plain documents). There is also standard taxonomy challenges, about choosing the "types" of the nodes and the associations (values of the `instance_of` of the `Association`s in TopicDB). If the platform restricts things to a fixed taxonomy, you lose expressiveness, but on the other hand if you let users create any-which category they want things can grow quickly out of hand). A related project in that space is https://metacademy.org/ whose code is here https://github.com/metacademy/metacademy-application I was working on an app similar to contextualize a while back, but had to pause b

Have you seen Metacademy? Here is a "tech-tree" for recurrent neural networks [0]. In the top-left corner you can switch between "graph" and "list" mode. Unfortunately, site hasn't been updated for some time. However, they have open sourced their code and I was thinking maybe we (volunteers) could pick up where they left off and continue this initiative. Previous discussion [2]. Edit: added previous discussion to the list. [0] https://metacademy.org/graphs/concepts/recurrent_neural_netw... [1] https://github.com/metacademy/metacademy-application [2] https://news.ycombinator.com/item?id=7617683

Metacademy are doing something similar for Machine Learning and related areas. The code is open source too - https://github.com/metacademy/metacademy-application Here's an example visualization: https://www.metacademy.org/graphs/concepts/red_black_trees#f...

Hi, I'm one of the creators of Metacademy. I hope you find it useful. Feel free to follow our new Twitter account if you'd like low volume updates: https://twitter.com/meta_learning Also, you can register an account for an occasional email. PS) We're completely free and open source: https://github.com/metacademy/metacademy-application

NB: Metacademy is open source: https://github.com/metacademy/metacademy-application