alexhagiopol

cracking-the-coding-interview. :books: C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.

orthomosaic. Rectify and stitch images together using multiview geometry.

deep_homography_estimation. Compute homographies with deep networks instead of feature matching and RANSAC.

end-to-end-deep-learning. Autonomous driving simulation in the Unity engine.

arduino-UAV-software. Piloting firmware and Kalman Filter localization software for Arduino quadrotors.

multiscale-CNN-classifier. Reproduce GTSRB results of classic deep learning papers.

decision-trees. Detects false banknotes in the UC Irvine dataset.

deep_learning_packages. Quickly get started with deep learning dependencies on Mac & Ubuntu.

pybind_examples. Zero-to-one guide for using PyBind to compile and call C++ functions from Python code.

gmm. Gaussian mixture models mathematics tutorial in Python.

alexhagiopol.github.io. Personal website code forked from academicpages.github.io.

tensorflow-deeplab-resnet. DeepLab-ResNet rebuilt in TensorFlow 1.1, updated to include CRF, weighted classes, and prediction-time augmentation

basic_lane_lines. Detect lane lines using Hough Transform & Canny edge detection.

bloom_filter. Python implementation & analysis of Bloom Filter data structure.

cvpr_2018_papers. Relevant papers for Deep Learners study group.