distributed, likelihood-free inference
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Updated
Jun 26, 2025 - 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 string names to code functionality.
Simulation-based inference in JAX
EMelodyGen creates emotional ABC melodies via templates. Rough4Q dataset is auto-labeled by small emotional datasets and music psychology to fine-tune backbone after augmentation with 99% correct rate, 91% emotional alignment and effective feature controls.|EMelodyGen通过模板控制ABC生成旋律情感。利用小型情感数据集和音乐心理学为Rough4Q数据集生成标签,经转换和增强后微调骨干网络。生成谱正确率99%,情感准确率为 91%。
A toolbox for the calibration and evaluation of simulation models.
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
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