Melih Akay 🦾
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Concepts
Adjoint Matrix
Adjugate Matrix
Analysis of Variances
Cofactor Matrix
Complex Conjugate
Complex Numbers
Conjugate Matrix
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Diagonal Matrix
Eigendecomposition
Generalized inverse
Hungarian Algorithm
Inertial Measurement Unit
Inverse of a matrix
Invertibility of a matrix
Limit and Continuity of Functions with Several Variables
Linear Algebra
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Minor of a Matrix
Modulus of a complex number
Multivariate Analysis
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Repicrocal of a complex number
Simple Linear Regression
Singular matrix
Skew symmetric matrix
Spectral Decomposition
Square Matrix
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Statistical Design of Experiments
Statistical Inference
Symmetric matrix
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Courses
NVIDIA
Data Parallelism, How to Train Deep Learning Models on Multiple GPU's
Fundamentals of Deep Learning
Papers & Readings
Numerically Stable Dynamic Bicycle Model for Discrete-time Control
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METU Formula Racing
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Formula Student
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METU Formula Racing
Wheelie Roadmap
Wheelie: An End-to-End Autonomous Racing Framework for Formula Student Driverless Competition
ROMER
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PyTorch
How to select the device in PyTorch
learnpytorch.io
NovoGrad Optimizer
PyTorch
PyTorch Fundamentals
PyTorch Tensors
Adaptive ASHA Searcher
Determined.AI Hyperparameter Tuning
DeterminedAI
DevrimCAN Structure
Foxglove CLI
How to clear Jupyter kernel?
How to flash Jetson AGX Xavier
How to install onnxruntime_gpu Jetson
How to install REALTEK RTL88x2B USB Linux Driver
Hyperparameter Tuning
MCAP CLI
Object Oriented Programming with Java
Obsidian
Obsidian Callouts
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NVIDIA
Folder: Courses/NVIDIA
2 items under this folder.
Oct 20, 2025
Data Parallelism, How to Train Deep Learning Models on Multiple GPU's
Oct 20, 2025
Fundamentals of Deep Learning