Geek Repo
Biologically based neural network simulations of the brain written in Go with a 3D GUI powered by Cogent Core.
Location:University of California Davis
Home Page:https://emersim.org
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Data table structure in Go, now developed at https://github.com/cogentcore/core/tree/main/tensor
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
emergent GUI and other support for pytorch networks: provides a NetView for torch networks
Axon adds axonal spiking to the Leabra framework for error-driven and associative learning
Original C++ version of emergent: originally hosted under svn at https://grey.colorado.edu/svn/emergent
Neural network auditory processing code in Go focused on filtering speech wav files via mel filters
3D physics engine in Go, now developed at https://github.com/cogentcore/core/tree/main/xyz/physics
Go as a shader language, now developed at https://github.com/cogentcore/core/tree/main/vgpu/gosl
Neural network visual processing packages in Go, including standard Gabor filtering
MPI message passing interface for distributed memory computation, now developed at https://github.com/cogentcore/core/tree/main/tensor/tensormpi
A port of gnuspeech to Go
Emergent website
python wrappers of emergent sim packages
Environments for simulations; provides various examples that can be adapted
git-based run tool: python scripts that automate running jobs on a cluster
A tail command for looking at data files in a terminal, now developed at https://github.com/cogentcore/core/tree/main/tensor/cmd/ttail
Interviews toolkit used in the original PDP++ neural network simulation software
PDP++ simulator circa 2005, written in C++ using the iv (InterViews) toolkit, precursor to cemer