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Deok-Yun Jang's Projects

a-loam icon a-loam

Advanced implementation of LOAM

d2l-pytorch icon d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

didi_challenge_2017_ros icon didi_challenge_2017_ros

Goal of project was to detect vehicles and pedestrians using Lidar points in real time. This uses ROS nodes.

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.

kaolin icon kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

lidar-bonnetal icon lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

openpcdet icon openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

pix2pixhd icon pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

singan icon singan

Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"

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