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Source code of the model used in Cornejo-Donoso, J., Einarsson, B., Birnir, B., Gaines, S.D. (2017) Effects of fish movement assumptions on the design of a marine protected area to protect an overfished stock. PlosONE 12(10): e.0186309 https://doi.org/10.1371/journal.pone.0186309
Project which aims to solve a training problem of the ACM-ICPC International Collegiate Programming Contest, an annual competition between universities around the world sponsored by IBM.
This is a forked version of FAISS that supports PowerPC ISA. (Tested in Power 8 with 4 NVIDIA GPU). HNSW is not supported as the code migration to Power ISA vectors yet to be done.
Machine Intelligence Core: Toolchain. A sub-project of Machine Intelligence Core, being the real "core" of the framework. Contains tools required for development of MIC-based applications, such as configuration management, loggers, application state etc.
Machine Intelligence Core: Visualization. A sub-project of Machine Intelligence Core framework. Contains tools for building applications with OpenGL-based visualization of data, results of execution etc.
Machine Intelligence Core: Neural Nets. A sub-project of Machine Intelligence Core framework. The repository contains solutions and applications related to (deep) reinforcement learning. In particular, it contains several classical problems (N-armed bandits, several variations of Gridworld), POMDP environments (Gridworld, Maze of Digits, MNIST digi
Machine Intelligence Core:Reinforcement Learning. A sub-project of Machine Intelligence Core framework. The repository contains solutions and applications related to (deep) reinforcement learning. In particular, it contains several classical problems (N-armed bandits, several variations of Gridworld), POMDP environments (Gridworld, Maze of Digits,
Machine Intelligence Core: Algorithms. A sub-project of Machine Intelligence Core framework. The project contains core types (sample, batch, matrix tensor) and tools (MNIST/CIFAR/STL/RawText importers, encoders etc.) useful when training different models and working with different problems.