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character-control-using-body-posture

deep-generative-models

This project provides a basic study of deep generative models and a comparative study of different types of deep generative models, which are VAE(Variational Autoencoder), GAN(Generative Adversarial Networks) and Flow based models. All the models have trained with MNIST handwritten digit database containing images of size 28x28 pixels.

game_play_with_body_posture

lanedetection_end2end

End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/