Author's implementation of SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators (SIGGRAPH Asia 2019 Technical Paper)
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Updated
Nov 30, 2020 - C++
Author's implementation of SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators (SIGGRAPH Asia 2019 Technical Paper)
An implementation of heightmap-based terrain generation algorithms.
WiscKey is a highly SSD optimized key-value storage based on LevelDB.
Python implementation of the PAMI 2012 paper "Measuring the Objectness of Image Windows" and the CVPR 2010 paper "What is an object ?"
lightgbmのfeature-transform(特徴量の非線形化)をすることで、80,000を超える特徴量を線形回帰でも表現できることを示します
Tao Ju's original C++ implementation, with CMake (compiles on Linux)
Software for the paper "dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference"
Two-Stage Multithreshold Otsu method.
Minimum Degree Spanning Tree
This is part of the project Efficient identification of core and dead features in variability models
ONNLab is a framework and project for developing obfuscated neural networks, offering full control over training and inference, flexible architecture configuration, and seamless integration of custom components. Its core principle is systematic yet highly flexible design, enabling implementation of any architecture or training strategy.
A greedy outlier algorithm based on entropy. Implementation of He Z., Deng S., Xu X., Huang J.Z. (2006) A Fast Greedy Algorithm for Outlier Mining.
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