distributed, likelihood-free inference
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Updated
May 24, 2024 - Python
distributed, likelihood-free inference
DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization (ASPDAC'20)
Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
Prediction google trace data using Functional Link Neural Network and Optimization Algorithms such as GA, PSO, ABC,...
Automatic registry design-pattern library for mapping names to functionality.
Simulation-based inference in JAX
Python meta class and abstract method library with restrictions.
Using Artificial Bee Colony to find the minimal/maximal solution of Rastrigin function and Styblinski-Tang function
I have added the DropboxTarget to Luigi, so that a Dropbox account can be used as a storage backend. My changes have been MERGED into the official repository: https://github.com/spotify/luigi/pull/2696
DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization
Transforms ABC notation files into high-quality MP3 audio files by leveraging the power of sound fonts.
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