anon_submission | extensible software framework that allows a user to do

anon_submission is a Python library. anon_submission has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

lc-model-compression is a flexible, extensible software framework that allows a user to do optimal compression, with minimal effort, of a neural network or other machine learning model using different compression schemes. it is based on the learning-compression (lc) algorithm, which performs an iterative optimization of the compressed model by alternating a learning (l) step with a compression (c) step. this decoupling of the "machine learning" and "signal compression" aspects of the problem make it possible to use a common optimization and software framework to handle any choice of model and compression scheme; all that is needed to compress model x with compression y is to call the corresponding algorithms in the l and c steps, respectively. the software fully supports this by design, which makes it flexible and extensible. a number of neural networks and compression schemes are currently supported, and we expect to