proxy.golang.org : github.com/emer/emergent/v2
Package emergent is the overall repository for the emergent neural network simulation software, written in Go (golang) with Python wrappers. This top-level of the repository has no functional code -- everything is organized into the following sub-repositories: * emer: defines the primary structural interfaces for emergent, at the level of Network, Layer, and Path (pathway). These contain no algorithm-specific code and are only about the overall structure of a network, sufficient to support general purpose tools such as the 3D NetView. It also houses widely used support classes used in algorithm-specific code, including things like MinMax and AvgMax, and also the parameter-styling infrastructure (emer.Params, emer.ParamStyle, emer.ParamSet and emer.ParamSets). * randx has misc random-number generation support functionality, including randx.RandParams for parameterizing the type of random noise to add to a model, and easier support for making permuted random lists, etc. * netview provides the NetView interactive 3D network viewer, implemented in the Cogent Core 3D framework. * path is a separate package for defining patterns of connectivity between layers. This is done using a fully independent structure that *only* knows about the shapes of the two layers, and it returns a fully general bitmap representation of the pattern of connectivity between them. The leabra.Path code then uses these patterns to do all the nitty-gritty of connecting up neurons. This makes the pathway code *much* simpler compared to the ProjectionSpec in C++ emergent, which was involved in both creating the pattern and also all the complexity of setting up the actual connections themselves. This should be the *last* time any of those pathway patterns need to be written (having re-written this code too many times in the C++ version as the details of memory allocations changed). * patgen supports various pattern-generation algorithms, as implemented in taDataGen in C++ emergent (e.g., PermutedBinary and FlipBits). * timer is a simple interval timing struct, used for benchmarking / profiling etc. * python contains a template Makefile that uses [GoPy](https://github.com/goki/gopy) to generate python bindings to the entire emergent system. See the leabra package version to actually run an example.
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purl: pkg:golang/github.com/emer/emergent/v2
Keywords:
3d-graphics
, cogent
, cogent-core
, cognitive-neuroscience
, core
, emergent
, go
, golang
, leabra
, neural-network
, simulation-framework
, visualization
License: BSD-3-Clause
Latest release: 7 months ago
First release: over 1 year ago
Namespace: github.com/emer/emergent
Dependent packages: 4
Stars: 182 on GitHub
Forks: 25 on GitHub
Total Commits: 951
Committers: 22
Average commits per author: 43.227
Development Distribution Score (DDS): 0.388
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 3 days ago