Notes and materials for Active Manifold Computing projects. This repo will contain the relevant reading material for the all active projects.
- DP-NAS: Applying different algortithms from differential privacy to architecture generation approaches.
- LSMN-Prototype: Initial empirical exploration and preliminary implementations of approaches to build LSMNs.
- LSMN-Theory: Theoretical validation for Neural Composer, an initial general approach to the scalable generation of interpretable LSMNs.
- ML-for-Finance: Applying recent breakthroughs in Deep and Reinforcement Learning to problems in finance including equities prediction.
- DP-Medical-Images: Applying different algorithms from differential privacy to medical image problems, serving as a useful benchmark for the community.
- Virtual-Green-Screen: Extending state of the art methods in background matting and other CV methods to build a better virtual greenscreen.
- Satellite-ADC: Creating coordination among satellite clusters for scientific or industrial tasks using multi-agent learning methods.
The folders are seperated based on topic. Each topic will have relevant research papers and reading material. Each paper will have a summary for quick reading.
- project-1
- topic-1
- paper-1
- original-paper
- paper-summary
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- paper-n
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- topic-n
- paper-1
- original-paper
- paper-summary
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- paper-n
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- project-n