corpus.blog
56,966 blogs · [ { "id": "01a087eb-f4b4-71ce-b433-a062ace6561c", "title": "Migrating to Vercel", "url": "https://theanig.dev/blog/hello-world-migrating", "published_at": "2025-02-09T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062add618c4", "title": "Exploring the Gopher Protocol", "url": "https://theanig.dev/blog/gopher-protocol", "published_at": "2021-06-29T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062aecf9d76", "title": "Incremental Cooperative Rebalancing in Kafka", "url": "https://theanig.dev/blog/incremental-cooperative-rebalancing-kafka", "published_at": "2020-09-04T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062afad5007", "title": "Ensembles, PCA, and K-Means on MNIST", "url": "https://theanig.dev/blog/sml-hw3-ensembles-pca-and-clustering", "published_at": "2020-07-10T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b0738096", "title": "Kernel Methods and Random Fourier Features", "url": "https://theanig.dev/blog/sml-hw2-kernel-methods-and-random-features", "published_at": "2020-06-25T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b1487fa4", "title": "Bayes Classifiers, k-NN, and VC Dimension", "url": "https://theanig.dev/blog/sml-hw1-bayes-classifiers-and-vc-dimension", "published_at": "2020-06-10T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b2272a0f", "title": "Speech Recognition with MFCC and DTW", "url": "https://theanig.dev/blog/slp-lab3-mfcc-and-dtw", "published_at": "2020-05-25T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b31a74ee", "title": "HMM Part-of-Speech Tagger with Baum-Welch", "url": "https://theanig.dev/blog/slp-lab2-hmm-pos-tagger", "published_at": "2020-05-10T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b3697e4c", "title": "Finite-State Transducers for Cards and Speech", "url": "https://theanig.dev/blog/slp-lab1-finite-state-transducers", "published_at": "2020-04-25T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b42898b0", "title": "Word2Vec from Scratch", "url": "https://theanig.dev/blog/nlp-hw3-word2vec-from-scratch", "published_at": "2020-04-10T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b4fbeeb7", "title": "Logistic Regression Decision Boundaries", "url": "https://theanig.dev/blog/nlp-hw2-logistic-regression-decision-boundaries", "published_at": "2020-03-25T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b592f549", "title": "Twitter Streaming and Language Detection", "url": "https://theanig.dev/blog/nlp-hw1-twitter-language-detection", "published_at": "2020-03-10T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b5af48c9", "title": "Soft-Margin SVMs: Linear and Kernel", "url": "https://theanig.dev/blog/ml-hw4-svm-linear-and-kernel", "published_at": "2020-02-20T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b5c48488", "title": "COTA Buses on a Map", "url": "https://theanig.dev/blog/cota-buses-on-a-map", "published_at": "2020-02-14T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b5e76b31", "title": "Logistic Regression from Scratch on MNIST", "url": "https://theanig.dev/blog/ml-hw3-logistic-regression", "published_at": "2020-02-05T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b6d34a49", "title": "Bayes vs LDA and VC Generalization Bounds", "url": "https://theanig.dev/blog/ml-hw2-lda-and-vc-bounds", "published_at": "2020-01-20T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b71c0935", "title": "Linear Regression and Bayes Decision Boundaries", "url": "https://theanig.dev/blog/ml-hw1-regression-and-bayes", "published_at": "2020-01-10T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b7ff1d30", "title": "Backprop by Hand and CNNs on MNIST", "url": "https://theanig.dev/blog/cv-hwx-backprop-and-cnns", "published_at": "2019-03-25T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b8c4a3b5", "title": "NCC Template Matching, Stereo Depth, and KNN", "url": "https://theanig.dev/blog/cv-hw9-template-matching-and-knn", "published_at": "2019-03-23T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b95a66e3", "title": "Camera Calibration and Homography", "url": "https://theanig.dev/blog/cv-hw8-calibration-and-homography", "published_at": "2019-03-21T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062b9ad10d9", "title": "Harris Corners, FAST Corners, and OpenCV", "url": "https://theanig.dev/blog/cv-hw7-harris-and-fast-corners", "published_at": "2019-03-19T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062ba33683c", "title": "Tracking Objects with Covariance and Mean-Shift", "url": "https://theanig.dev/blog/cv-hw6-covariance-and-meanshift-tracking", "published_at": "2019-03-17T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062ba6a9673", "title": "Motion History Images and Optical Flow", "url": "https://theanig.dev/blog/cv-hw5-motion-and-optical-flow", "published_at": "2019-03-14T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062bb08c83a", "title": "Shape Moments and PCA on a Box of Dots", "url": "https://theanig.dev/blog/cv-hw4-moments-and-pca", "published_at": "2019-03-11T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062bb861bd6", "title": "Image Pyramids and Background Subtraction", "url": "https://theanig.dev/blog/cv-hw3-pyramids-and-background", "published_at": "2019-03-07T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062bc4f7cef", "title": "Finding Edges with Gaussians, Sobel, and Canny", "url": "https://theanig.dev/blog/cv-hw2-edges-and-filters", "published_at": "2019-03-04T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062bd2d70ea", "title": "Reading Images and the NTSC Grayscale Formula", "url": "https://theanig.dev/blog/cv-hw1-image-basics", "published_at": "2019-03-01T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062bdd84e6f", "title": "Multithreaded Restaurant Simulation in C++14", "url": "https://theanig.dev/blog/restaurant-6431-concurrency", "published_at": "2019-01-17T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062bde5f81d", "title": "Fractals for Image Classification Feature Extraction", "url": "https://theanig.dev/blog/hilbert-curve-svm", "published_at": "2018-12-06T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062be71d756", "title": "Particle Filters and Ghost Tracking", "url": "https://theanig.dev/blog/ai-hw4-probabilistic-tracking", "published_at": "2018-11-23T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062becb1da4", "title": "Value Iteration and Q-Learning", "url": "https://theanig.dev/blog/ai-hw3-reinforcement-learning", "published_at": "2018-11-16T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062bf2f0807", "title": "Minimax, Alpha-Beta, and Expectimax", "url": "https://theanig.dev/blog/ai-hw2-multiagent-search", "published_at": "2018-10-28T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062bf873b96", "title": "DFS, BFS, UCS, and A* in Pacman", "url": "https://theanig.dev/blog/ai-hw1-search-algorithms", "published_at": "2018-10-15T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062c04ac4cc", "title": "RBF Networks for Function Approximation", "url": "https://theanig.dev/blog/intro-to-nn-project-2", "published_at": "2018-10-09T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062c12728d2", "title": "Backpropagation and the N-Bit Parity Problem", "url": "https://theanig.dev/blog/intro-to-nn-project-1", "published_at": "2018-09-27T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062c19d2a4f", "title": "Perceptron Learning, the XOR Problem, and Gradient Descent", "url": "https://theanig.dev/blog/intro-to-nn-homework-2", "published_at": "2018-09-15T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062c25013f2", "title": "McCulloch-Pitts Neurons and Linear Separability", "url": "https://theanig.dev/blog/intro-to-nn-homework-1", "published_at": "2018-09-07T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062c250db23", "title": "BiLSTM-CNN-CRF for Sequence Labeling: A Tutorial", "url": "https://theanig.dev/blog/ner-lstm-cnn-icml", "published_at": "2018-08-25T00:00:00+00:00" }, { "id": "01a087eb-f4b4-71ce-b433-a062c2b9df39", "title": "Deep Learning Methods for Quotable Text", "url": "https://theanig.dev/blog/deep-learning-for-memorable-quotes", "published_at": "2018-07-26T00:00:00+00:00" } ] posts Claim your blog
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theanig.dev

theanig.dev

2025

Migrating to Verceloriginal ↗
9 Feb 2025

2021

Exploring the Gopher Protocoloriginal ↗
29 Jun 2021

2020

Incremental Cooperative Rebalancing in Kafkaoriginal ↗
4 Sept 2020
Ensembles, PCA, and K-Means on MNISToriginal ↗
10 Jul 2020
Kernel Methods and Random Fourier Featuresoriginal ↗
25 Jun 2020
Bayes Classifiers, k-NN, and VC Dimensionoriginal ↗
10 Jun 2020
Speech Recognition with MFCC and DTWoriginal ↗
25 May 2020
HMM Part-of-Speech Tagger with Baum-Welchoriginal ↗
10 May 2020
Finite-State Transducers for Cards and Speechoriginal ↗
25 Apr 2020
Word2Vec from Scratchoriginal ↗
10 Apr 2020
Logistic Regression Decision Boundariesoriginal ↗
25 Mar 2020
Twitter Streaming and Language Detectionoriginal ↗
10 Mar 2020
Soft-Margin SVMs: Linear and Kerneloriginal ↗
20 Feb 2020
COTA Buses on a Maporiginal ↗
14 Feb 2020
Logistic Regression from Scratch on MNISToriginal ↗
5 Feb 2020
Bayes vs LDA and VC Generalization Boundsoriginal ↗
20 Jan 2020
Linear Regression and Bayes Decision Boundariesoriginal ↗
10 Jan 2020

2019

Backprop by Hand and CNNs on MNISToriginal ↗
25 Mar 2019
NCC Template Matching, Stereo Depth, and KNNoriginal ↗
23 Mar 2019
Camera Calibration and Homographyoriginal ↗
21 Mar 2019
Harris Corners, FAST Corners, and OpenCVoriginal ↗
19 Mar 2019
Tracking Objects with Covariance and Mean-Shiftoriginal ↗
17 Mar 2019
Motion History Images and Optical Floworiginal ↗
14 Mar 2019
Shape Moments and PCA on a Box of Dotsoriginal ↗
11 Mar 2019
Image Pyramids and Background Subtractionoriginal ↗
7 Mar 2019
Finding Edges with Gaussians, Sobel, and Cannyoriginal ↗
4 Mar 2019
Reading Images and the NTSC Grayscale Formulaoriginal ↗
1 Mar 2019
Multithreaded Restaurant Simulation in C++14original ↗
17 Jan 2019

2018

Fractals for Image Classification Feature Extractionoriginal ↗
6 Dec 2018
Particle Filters and Ghost Trackingoriginal ↗
23 Nov 2018
Value Iteration and Q-Learningoriginal ↗
16 Nov 2018
Minimax, Alpha-Beta, and Expectimaxoriginal ↗
28 Oct 2018
DFS, BFS, UCS, and A* in Pacmanoriginal ↗
15 Oct 2018
RBF Networks for Function Approximationoriginal ↗
9 Oct 2018
Backpropagation and the N-Bit Parity Problemoriginal ↗
27 Sept 2018
Perceptron Learning, the XOR Problem, and Gradient Descentoriginal ↗
15 Sept 2018
McCulloch-Pitts Neurons and Linear Separabilityoriginal ↗
7 Sept 2018
BiLSTM-CNN-CRF for Sequence Labeling: A Tutorialoriginal ↗
25 Aug 2018
Deep Learning Methods for Quotable Textoriginal ↗
26 Jul 2018