amiremadz Goto Github PK

image-processing-computer-vision

img-classification

imgaug

Image augmentation for machine learning experiments.

imu_attitude_estimation

#Arduino#MPU 9255#Kalmn filter # drift free estimation

interview

Interview questions

interviewbit

InterviewBit Solutions

kaggle_carvana_segmentation

Code for a 1st place model in Carvana Image Masking Challenge

kalman

Some Python Implementations of the Kalman Filter

keras

Deep Learning for humans

leetcode

LeetCode Problems' Solutions

loop

A method to generate speech across multiple speakers

lsd_slam

LSD-SLAM

luminoth

Deep Learning toolkit for Computer Vision

machine-learning

Examples and experiments around ML for upcoming Coding Train videos

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine_learning_examples

A collection of machine learning examples and tutorials.

macos-terminal-themes

Color schemes for default macOS Terminal.app

makani

Makani was a project to develop a commercial-scale airborne wind turbine, culminating in a flight test of the Makani M600 off the coast of Norway. All Makani software has now been open-sourced. This repository contains the working Makani flight simulator, controller (autopilot), visualizer, and command center flight monitoring tools. Additionally, almost all avionics firmware is also included, albeit potentially not in a buildable state, due to the removal of some third-party proprietary code. We hope that this code will be inspirational and useful to the kite-based windpower and wider communities.

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

materials

Bonus materials, exercises, and example projects for our Python tutorials

mathematicsbiostatisticsbootcamp2

The github repository for mathematical biostatistics bootcamp 2

mathforgamedevelopers

Sample code for my YouTube series.

matlab_octave_rotations_lib

Library for working with 3D rotations in Matlab/Octave

medical-image-classification-using-deep-learning

Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for AlexNet and ZFNet are 63.56% and 84.42% respectively.

missingno

Missing data visualization module for Python.

ml_fundamentals

mycodingschool

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

nevergrad

A Python toolbox for performing gradient-free optimization