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Ngoc Nguyen's Projects

3dod_thesis icon 3dod_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

aicity2020-voc-reid icon aicity2020-voc-reid

The 2nd place submission for AICity Challenge 2020 ReID track, VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

centertrack icon centertrack

Simultaneous object detection and tracking using center points.

cheatsheets icon cheatsheets

An assortment of programming cheatsheets that have helped me over the years

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

cocosplit icon cocosplit

Simple tool to split COCO annotations into train/test datasets.

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

d2l-en icon d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

darknet icon darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

deep-photo-enhancer icon deep-photo-enhancer

TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

det3d icon det3d

A general 3D object detection codebse.

detectors icon detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

detr icon detr

End-to-End Object Detection with Transformers

driver-anomaly-detection icon driver-anomaly-detection

PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.

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