mohsen-azimi Goto Github PK

3d-lidar-slam

Simultaneous localization and mapping (SLAM) algorithm implementation with Python, ROS, Gazebo, Rviz, Velodyne LiDAR for Autonomous Vehicles

3d-machine-learning

A resource repository for 3D machine learning

3d-shm

This repository contains the codes for 3D contactless vibration monitoring of shake-table tests using RGB-D cameras

binary-to-coco-json-converter

Convert segmentation binary mask images to COCO JSON format.

catnet

🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (arXiv 2021)

cell-detr

Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].

civl518_fall2019_reliability_analysis

convmixer

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

create_coco_panoptic_json

datasciencecoursera

JHU Data Science

datasharing

The Leek group guide to data sharing

deformable-detr

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

detr

detr-panoptic-segmentation

detr-panoptic-segmentation-2

Panoptic segmentation on custom construction objects using DETR

detreg

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

earthquake-web-app

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fastdup

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.

fcn_for_crack_recognition

An application FCN for crack recogntion using tensorflow

fiftyone-ob

The open-source tool for building high-quality datasets and computer vision models

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

github_workshop

Github Workshop

green-screen-segmentation

gwhd

gwhd-swin-transformer

This project includes my (31st place) solution to the 2021 Global Wheat Challenge on AICrowd. The solution is based on self-supervised learning and the Swin Transformer. The repo is forked from the original implementation of the Swin-transformer for object detection.

gym-cartpole-bt-v0

A modified version of the cart-pole OpenAI Gym environment for testing different control policies

harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

image-super-resolution-via-iterative-refinement

Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch

image-to-coco-json-converter

Convert segmentation RGB mask images to COCO JSON format