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==Math and Theory== | ==Math and Theory== | ||
===Machine Learning=== | |||
* [[Machine Learning]] | * [[Machine Learning]] | ||
** [[Supervised Learning]] | ** [[Supervised Learning]] | ||
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** [[Ensemble Learning]] | ** [[Ensemble Learning]] | ||
** [[Deep Learning]] | ** [[Deep Learning]] | ||
* [[Visual Learning and Recognition]] | |||
===Mathematics=== | |||
* [[Advanced Calculus]] | * [[Advanced Calculus]] | ||
* [[Linear Algebra]] | * [[Linear Algebra]] | ||
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* [[Numerical Analysis]] | * [[Numerical Analysis]] | ||
** [[Numerical Optimization]] | ** [[Numerical Optimization]] | ||
===Computer Science=== | |||
* [[Algorithms]] | * [[Algorithms]] | ||
** [[Interview Algorithms]] | ** [[Interview Algorithms]] | ||
** [[Parallel Algorithms]] | ** [[Parallel Algorithms]] | ||
** [[Graph Theory]] | ** [[Graph Theory]] | ||
* [[Data Structures]] | |||
* [[Computer Graphics]] | * [[Computer Graphics]] | ||
** [[Advanced Computer Graphics]] | ** [[Advanced Computer Graphics]] |
Revision as of 16:34, 1 September 2020
Welcome to David Li's wiki.
Programming
Libraries
Operating Systems
Programming Languages
General Purpose
Web Programming
Numerical Computation
GPU Programming
Shader Languages
Typesetting
Frameworks
Game Development
Web Development
- Front-end Frameworks
- Back-end Frameworks
- CSS Libraries
- Databases
App Development
Machine Learning
Libraries
Visualization Tools
Applications
Architectures
- Convolutional neural network (CNNs)
- Generative Adversarial Networks (GANs)
- Long short-term memory (LSTM)
- Transformer (machine learning model)
- Capsule neural network
- Siamese neural network
Research Areas
Computer Vision
Libraries
Software and Tools
Software Engineering
Text Editors and IDEs
Photo/Video Editing
3D Modeling
Office
Misc
Operating Systems
Containers
Research
Surveys
- Steganography
- Natural language processing
- Spherical Harmonics
- Image Compression
- Video Compression
- Depth Estimation
- Single Image Animation
- Foveated Rendering
- Texture Synthesis
- Image Registration
- Image quality assessment