memari-majid

AIDR

Artificial Intelligence for Digital Response

computer-vision

Computer Vision Algorithms

convolutional-neural-network

Convolutional Neural Networks

data-analysis

Statistical Analysis

Data-Struct-and-Algorithms

Python Programming

image-processing

To process a large amount of data with efficiency and speed without compromising the results data scientists need to use image processing tools for machine learning and deep learning tasks

opencv

fingerprint_gen

GAN - Object Detection

image_generation

generating synthetic images to enhance Optical Character Recognition (OCR) systems

jhu_centering

A joint study by University of Pennsylvania and Johns Hopkins aims to understand the effects of daily meditation practice called Centering on well-being and health behaviors

Motif_Search

MapReduce-based Algorithm for Motif Search

clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps

coding

django-realworld-example-app

dlatk

End to end human text analysis package, specifically suited for social media and social scientific applications. It is written in Python 3 and developed by the World Well-Being Project at the University of Pennsylvania and Stony Brook University.

fingerprint_recognition

Fingerprint recognition using CNN (Keras)

hub

A library for transfer learning by reusing parts of TensorFlow models.

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

Learning-OpenCV-5-Computer-Vision-with-Python-Fourth-Edition

Learning OpenCV 5 Computer Vision with Python, Fourth Edition, Published by Packt

ml-cheatsheet

Moder_Computer_Vision

nlp-transformers

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

PAT

Process Analytical Technology (PAT) is a system for designing, analyzing, and controlling pharmaceutical manufacturing processes through the measurement of Critical Quality Attributes (CQA) which are key to the final product quality.

pytorch-fid

Compute FID scores with PyTorch.

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

thin_slicing

trax

Trax — Deep Learning with Clear Code and Speed