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Resources for deep learning with satellite & aerial imagery
...Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful please give it a star and consider sponsoring it. You can also follow me on Twitter and LinkedIn where I aim to post frequent updates on my new discoveries, and I have created a dedicated group on LinkedIn. I have also started a blog here and have published a post on the history of this repository called Dissecting the satellite-image-deep-learning repo.
Document papers compiled daily in computer vision/deep learning
...By aggregating paper titles and references in one place, it reduces the overhead of deciding what to read next and helps you spot trends early. It doubles as a personal knowledge log: you can star or fork it to build your own “to-read” roadmap. For students and engineers alike, it’s a practical way to stay research-literate without getting overwhelmed.
Awesome Artificial Intelligence, Machine Learning and Deep Learning
...This repo is dedicated to engineers, developers, data scientists and all other professions that take interest in AI, ML, DL and related sciences. To make learning interesting and to create a place to easily find all the necessary material. Please contribute, watch, star, fork and share the repo with others in your community.
This software uses a genetic algorithm to "evolve" reactor designs for Schema's space-simulation game, Star-Made (http://star-made.org/). One of the more unique aspects of the game is that ship power management is not as simple as filling a cube with power generation blocks. This mechanism leads to difficulties in getting maximal power generation out of such reactors.
This program rectifies this issue by using a self-organizing variant of brute force search.
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