quincy-kh-chen

ARpiano

The Augmented Reality Piano

caffe-tensorflow

Caffe models in TensorFlow

commitlint

📓 Lint commit messages

Computer-Vision-Final-Project

Data

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detr

End-to-End Object Detection with Transformers

IFM_Camera

ParticleFilter

dgp

ML Dataset Governance Policy for Autonomous Vehicle Datasets

quincy-kh-chen/ARpiano

The Augmented Reality Piano

quincy-kh-chen/Computer-Vision-Final-Project

quincy-kh-chen/IFM_Camera

quincy-kh-chen/ParticleFilter

quincy-kh-chen/caffe-tensorflow

Caffe models in TensorFlow

quincy-kh-chen/commitlint

📓 Lint commit messages

quincy-kh-chen/Data

quincy-kh-chen/detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

quincy-kh-chen/detr

End-to-End Object Detection with Transformers

quincy-kh-chen/dgp

TRI-ML Dataset Governance Policy

quincy-kh-chen/EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

quincy-kh-chen/horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

quincy-kh-chen/LSTR

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

quincy-kh-chen/mmdetection

OpenMMLab Detection Toolbox and Benchmark

quincy-kh-chen/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

quincy-kh-chen/NSTDemo

A minimal example of Neural Style Transfer on iOS using CoreML

quincy-kh-chen/ransac-implementation

RANSAC (RANdom SAmple Consensus) Algorithm Implementation

quincy-kh-chen/segmenter

Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

quincy-kh-chen/SoftTeacher

Semi-Supervised Learning, Object Detection, ICCV2021

quincy-kh-chen/streamlit

Streamlit — The fastest way to build data apps in Python

quincy-kh-chen/Tensorflow-Project-Template

A best practice for tensorflow project template architecture.

quincy-kh-chen/tracker_benchmark

quincy-kh-chen/TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.