NLP

Introduction
Courses
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Notes

computer vision

Active Contours Color Edge Detection Histogram of Oriented Gradients Hough Transform Image Features Image Segmentation Linear Filters Object Detection Optical Flow Patch Extraction Sampling and Aliasing Scale Invariant Feature Transforms Segmentation via Clustering Transformers for Computer Vision

gpu programming

CUDA Architecture CUDA Memory Architecture GPU Pattern: Convolution GPU Pattern: Parallel Histogram GPU Pattern: Parallel Scan GPU Pattern: Reduction GPU Pattern: Stencils Heterogeneous Data Parallel Computing Introduction to GPGPU Programming Multidimensional Grids and Data Profiling CUDA Applications

machine learning

Boosting Clustering Convolutional Neural Networks Decision Trees Gradient Boosting Kernels Linear Discriminant Analysis Linear Regression Logistic Regression Markov Decision Processes Naive Bayes Neural Networks Perceptron Policy Gradient Methods Positional Encoding Pretraining Large Language Models Probability Theory Regularization Reinforcement Learning Sequential Minimal Optimization Support Vector Machine

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Natural Language Processing

Deep Learning, NLP