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Rochester Institute of Technology
- Rochester, NY
- https://www.rit.edu/dirs/students/amir-hassanzadeh
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QGIS plugin with popular topographic correction algorithms and various methods of their evaluation
Imbalanced Learning Regression
Pre-processing Approaches for Imbalanced Distributions in Regression
Cloud Removal for High-resolution Remote Sensing Imagery based on Generative Adversarial Networks.
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
Code for Hyperspectral and Panchromatic image Fusion from the paper "Deep unfolding for hypersharpening using a high-frequency injection module" published at EarthVision 2023
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising (TNNLS 2020)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A two-page cheatsheet for restructured text
A clean and readable Pytorch implementation of CycleGAN
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
StyleGAN2-ADA - Official PyTorch implementation
This tool rapidly converts loose files scattered within any folder into a consolidated H5 file. This allows for faster read operations with lower memory requirement.
Hummingbird compiles trained ML models into tensor computation for faster inference.
An interactive GUI for WhiteboxTools in a Jupyter-based environment
Latex code for making neural networks diagrams
Hyper-parameter optimization for sklearn
Kernel Point Convolution implemented in PyTorch
An implementation of NSGA-III in Python.
Feature Selection using Genetic Algorithm (DEAP Framework)
Use evolutionary algorithms instead of gridsearch in scikit-learn
A script to use the PyWavelet library to perform denoising on a signal using a multi-level signal decomposition using a discrete wavelet transform.
akTwelve / Mask_RCNN
Forked from matterport/Mask_RCNNMask R-CNN for object detection and instance segmentation on Keras and TensorFlow