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Yasir Jan's Projects

automold--road-augmentation-library icon automold--road-augmentation-library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

car-model-classification icon car-model-classification

Car Model classification using Stanford Cars Dataset for Grab AI For Sea challenge on computer vision (https://www.aiforsea.com/computer-vision)

carl-cnn icon carl-cnn

Car Logos CNN - image classification via neural network

cars icon cars

An attempt at the Stanford Cars dataset (https://ai.stanford.edu/~jkrause/cars/car_dataset.html). Largely taken from foamliu's code (https://github.com/foamliu/Car-Recognition) modified to require less pre-processing, less memory, and be more user friendly.

cowc icon cowc

Cars Overhead With Context related scripts described in Mundhenk et al. 2016 ECCV.

depix icon depix

Recovers passwords from pixelized screenshots

diagrams icon diagrams

:art: Diagram as Code for prototyping cloud system architectures

dltfpt icon dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

gans icon gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

imgclsmob icon imgclsmob

Sandbox for training convolutional networks for computer vision

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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