mohammadnhaque Goto Github PK

advanced-computer-vision-with-tensorflow

Brightspark course by Packt: Advanced Computer Vision with TensorFlow

asjp

CLDF dataset derived from Wichmann et al.'s "ASJP Database"

auto-annotation-using-yolov8-and-sam

Auto Annotation for generating segmentation dataset using YOLOv8 & SAM

bootcamp

Caltech Introduction to Programming for the Biological Science Bootcamp

cd-diagram

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

computational_economics_coursepack

course website

computational_economics_syllabus

Syllabus for CompEcon Course

computer-vision-workshop

The Computer Vision Workshop by Packt

continued-fraction-regression

The CFR Code by Haoyuan Sun

coursera-object_localization-dl_pytorch

Coursera Project Network - Deep Learning with PyTorch : Object Localization

coursera-object_localization_with_tensorflow

Coursera Project Network - Object Localization with TensorFlow

cppoptimization

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

datascience_artificialintelligence_utils

Examples of Data Science projects and Artificial Intelligence use-cases

deeplearning_tensorflow

Deep Learning with Python: Neural Networks

ga-eoc

Genetic Algorithm for Ensemble of Classifier

google-benchmark

A microbenchmark support library

home

DMR Identification Tool

installation-guides

Centralized administration of dependency installation guides.

learn-docker-certified-associate

Docker Certified Associate

learnopencv

Learn OpenCV : C++ and Python Examples

linear-programming-using-matlab

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.

mohammadnhaque.github.io

Dr M.N. Haque - Profile

multiscale-template-matching

Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.

one-pixel-attack-keras

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

operon

C++ Large Scale Genetic Programming Framework

precision-ml

py-cfr-covid-19

python-for-deep-learning---build-neural-networks-in-python

Packt Video Course

python_problems

This repository shares my leetcode problems solving experience.