arashazimi0032

arashazimi0032's Stars

• arashazimi0032/SampleMVCApp

  Language:C#1

• arashazimi0032/FirstWebApp

  Language:C#1

• obss/sahi

  Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

  Language:Python4.2k608

• arashazimi0032/Pascal-Voc-Object-Detection

  Language:Python1

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python51.7k16.5k

• arashazimi0032/Stock-Price-Prediction-RNN

  Language:Python2

• pierluigiferrari/ssd_keras

  A Keras port of Single Shot MultiBox Detector

  Language:Python1.9k937

• arashazimi0032/Oxford-Segmentation

  Single-Object Semantic Segmentation

  Language:Python2

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.6k12.2k

• arashazimi0032/Auto-Encoder

  Auto Encoder specified for recommender systems contains no_data_values

  Language:Python1

• jcklie/keras-autoencoder

  Collection of autoencoders written in Keras

  Language:Python3718

• HesamTaherzadeh/PCST

  Photogrammetric Coordinate System Transformer, in short PCST, is a python based GUI program, that intends to help photogrammetrist and computer vision analyst, rapidly pick the best model on their data

  Language:Python4

• HesamTaherzadeh/Deep_LDW_CPP

  Language:C++5

• arashazimi0032/Restricted-Boltzmann-Machine

  Language:Python5

• Akwasi-Richie/machine-learning-oil-gas-industry

  Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli

  1

• arashazimi0032/PKS

  An improved photogrammetric key-frame selection method built on ORB-SLAM3

  Language:C++304

• saiduc/PyOpenGLobe

  3D World Map in Python using PyOpenGL

  Language:Python247

• Seyed-Ali-Ahmadi/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python1

• Seyed-Ali-Ahmadi/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python1

• Seyed-Ali-Ahmadi/Building-Damage-Assessment

  This is part of my thesis which is publicly available here.

  Language:Jupyter Notebook6

• Seyed-Ali-Ahmadi/Digital-Image-Processing

  This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.

  Language:Jupyter Notebook317

• Seyed-Ali-Ahmadi/Awesome_Satellite_Benchmark_Datasets

  Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

  Language:Jupyter Notebook33025

• Seyed-Ali-Ahmadi/Python-for-Remote-Sensing

  python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

  Language:Jupyter Notebook3212

• arashazimi0032/Digital_Image_Processing

  Basic Image Processing Software

  Language:MATLAB6