basharbme's Repositories

100 repositories

2048-console
A clone of the game 2048 in the console written in vanilla python without any imports.
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2048-DeepQLearning
Implementation of an agent able to play 2048. Report, evaluation and implementation details in the GitHub repository. During the project I gained experience with Reinforcement learning technologies such as the gym framework and the Keras-rl library.
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2048AI
Deep learning to play the game 2048.
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2048Game
deep learning for 2048Game
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2D-DFT
2D dft for image processing in python
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2Dto3DimageConverter
Code that converts a jpg image to a stl object
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3-RPS-parallel_robot_heliostat
Modeling, simulation and control of Azimuth-Elevation, Target-Aligned and the proposed 3-RPS parallel manipulator
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3D-Bioprinter-parts-and-accessories
A collection of STL files used for building or modifying a FDM printer to print gels
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3D-GAN-pytorch
Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf
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3D-GAN-pytorch-1
A pytorch implementation of 3D-GAN
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3D-Guided-Face-Mani
3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Operative Outcome after Cranio-Maxillofacial Surgery
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3D-Machine-Learning
A resource repository for 3D machine learning
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3D-Machine-Learning-Papers
"When fervent human curiosity is abandoned to the power of AI, the intrinsic executive function, cognitive control, interrogation, and discord will rapidly weaken to the surrender of the narrative/reality created by AI." โ€• Tamie M. Santiago
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3d-medical-image-analysis-pytorch
3d medical image analysis and deep learning using pytorch
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3D-Medical-Imaging-Preprocessing-All-you-need
This Repo Will contain the Preprocessing Code for 3D Medical Imaging
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3D-Medical-Segmentation-GAN
3D Liver Segmentation with GAN
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3D-MiniNet
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
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3d-object-detection
UNet Fully Convolutional NNs for 3D Object Detection
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3d-print-toolbox-modified
3d printing addon for Blender 2.8
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3D-printed-valves-with-snorkeling-masks-for-CPAP
During COVID-19 pandemic, a high number of patients with severe acute respiratory syndrome created a great demand for intensive care admission and invasive mechanical ventilation procedure (IMV). Because of the high number of patients, a lack of resources for fighting off the pandemic might happen. In this study, additive manufacturing was used to rapidly produce valves for final use with full-face snorkeling masks as part of medical devices for continuous positive airways pressure (CPAP), a non-invasive ventilation (NIV) procedure. A series of 2,200 valves were fabricated and used in contaminated with COVID-19 virus patients who presented hypoxia symptoms and respiratory distress. Around 30-40% of patients had their blood oxygen saturation level (SpO2) improved over 93% and could avoid or delay IMV and ICU admission. These results present a reduction of 3 to 4 weeks of patient intubation, improving the availability of ICU beds in hospitals that are working in a risk of shortage of such unities during the pandemic. Thus, this study shows the feasibility of using additive manufactured valves with snorkel facial masks to support medical devices for NIV procedures.
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3D-Printer-to-Green-Bioprinter-Conversion
Please take a look into the README for further information.
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3D-reconstruction
two view structure from motion
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3D-Reconstruction-with-Deep-Learning-Methods
List of projects for 3d reconstruction
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3D-Reconstructions
No description
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3D-Scanner
This repository contains matlab code for processing an input dataset of images into a depth map. This depth map can then be converted to .stl for 3D printing
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3D-Unet
A simple implementation of 3D-Unet on a 3D Prostate Segmentation Task
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3D-Unet--Tensorflow
3D Unet for Isointense Infant Brain Image Segmentation
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3D-unet-1
No description
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3D-unet-keras-lung-lobes-segmentation
No description
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3D-UNet-pytorch
An implementation of 3D U-Net CNN models for the task of voxel-wise semantic segmentation of 3D MR images for isolation of Low-Grade and High Grade Gliomas, the common types of brain tumour.
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3dChestScanAbnormality
Using a 3d Unet model , given the patient's 3d chest scan slices , it predicts the location of abnormalities if present.
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3DPrintedBoneScaffoldDisplay
3D modeling and printing can be used to fabricate personalized, living bone implants
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3DRealisticHeadPhantomInMRI
STL files of a realistic head-shaped phantom for MRI imaging
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3DScaffold
Thesis Project Code for 3D printed scaffold creation program
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3dunet
airway segmentation
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3DUNET-1
3D u-net keras๏ผˆSimple version๏ผ‰
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3DUnet-Tensorflow-Brats18
3D Unet biomedical segmentation model powered by tensorpack with fast io speed
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3DUnetCNN
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
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3DUnetCNN-1
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
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3DUNet_Lung_COVID_Segmentation
No description
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3DUnet_pytorch
No description
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3DUnet_tensorflow2.0
This Repo is for implementation of 3D unet in Tensorflow 2.0v
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3D_Projects_MATLAB
Implementation of Camera Calibration, Iterative Closest Point, Marching Cubes
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3D_Reconstruction
A Program Written in QT using VTK for 3DReconstruction
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3d_segmentation
3D segmentation of neurites in EM images.
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3D_UNet
TensorFlow implementation of 3D UNet for medical image segmentation
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5G-Core-Networks-Datasets
No description
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5G3E-dataset
No description
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5Gdataset
No description
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9_Watershed-Image-Segmentation
An original detailed Watershed Algorithm for Image Segmentation
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abide-fmri
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
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abnormal-xray-detection
Repo for Stanford's MURA Bone X-Ray Deep Learning Competition
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Accelerometers_Wearable_Data---Getting_and_Cleaning
The purpose of this project is to demonstrate my ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.
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active_reinforcement_learning
Active reinforcement learning for semantic segmentation of nuclei in medical imagery
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AFE-ADSDriveSystem
A drive system for AFE0064 and ADS8363
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aframe-react-boilerplate
:sunglasses: Boilerplate for building virtual reality (VR) experiences with A-Frame and React using aframe-react.
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Aging
Epigenomic enrichment analysis of age-related genomic regions
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AI-for-Medicine-Specialization
AI for Medicine Specialization by deeplearning.ai
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AI-in-3D-Medial-Imaging-Data
Application of AI in 3D Medical Imaging in quantifying Alzheimer's disease progression through automated measurement of hippocampal volume
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AirlinesApplication
Basic PHP and MySQL application
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airVelocityAttenuation
This project implements a sink term applicable to the momentum conservation equation of the multiphase OpenFOAM solvers (interFoam, interIsoFoam), which attenuates velocities in the air phase.
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akaunting
Free and Online Accounting Software
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Alcubierre-Warp-Drive
Python implmentation of Alcubierre's metric using Numpy and Matplotlib.
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Algorithm-of-Beauty
ใ€Š็ฎ—ๆณ•ไน‹็พŽโ€”โ€”้šๅŒฟๅœจๆ•ฐๆฎ็ป“ๆž„่ƒŒๅŽ็š„่ฏญ่จ€ใ€‹๏ผŒๅ…จๆ–‡็›ฎๅฝ•ใ€โ€œ45ไธช็ฎ—ๆณ•โ€็›ฎๅฝ•ใ€โ€œ22ไธช็ปๅ…ธ้—ฎ้ข˜็›ฎๅฝ•โ€ใ€‚่ฎฐๅฝ•ๅญฆไน ไปฃ็ ๅฎž็Žฐ๏ผŒๅ‚่€ƒ๏ผšhttp://www.cnblogs.com/ranjiewen/p/6082573.html
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alien-signal-detection
Detecting Extra-terrestrial signals with the help of Patch-based Image Classification Deep Learning models.
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AliensDestroyTheWorld-Build
The builds of my game
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AMD-and-Glaucoma-Detection-Using-Retinal-Funduscopic-Image-Processin
Image processing is the processing of image by converting an image into digital conformation by applying mathematical operations in the form of signal processing for which the input is an image, a video or a series of image, like video or photograph frame, the outcome of image processing may be either an image or a set of parameters or characteristics related to the image. Glaucoma is the eye disease in which the nerve connecting the eye to the brain is damaged, usually due to high eye pressure. Age-related macular degeneration (AMD) is a decay or breakdown of the eye macula. Glaucoma and age-related macular degeneration (AMD) are these days two of the most incessant reasons for visual impairment and vision misfortune. In addition, high growth of the diseases will be experienced due to diabetes disease incidence increase and the lifestyle lead by populous that is ageing in the present society. Their diagnosis at earliest stage through appropriate good treatment will reduce medical treatment costs generated when they are in early stage else condition may become critical.
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anatomic-implants
No description
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Android-Cholesterol-Checker
Android-Application-Cholesterol-Checker in Java
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AndroidAPS
No description
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AndroidAPSdocs
Documentation for AndroidAPS
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anomaly-detection
Some Jupyter Notebooks with encoding models for image anomaly detection
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Anomaly_Detection_Images
Anomaly detection in Images - HAM10000 dataset
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ant-colony-algorithm-for-TSP
ant colony algorithm for TSP
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AntColony-Algorithm
Find the Shortest Path
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anti-aging_studies
anti-aging tests
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api-designer
A web editor for creating and sharing RAML API specifications
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api-sdk-csharp
No description
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Apk-Android
Eclipse, Unity, blender 3D, C#, Java
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ApplyModifierForObjectWithShapeKeys
Blender script
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app_fullstackdemo
AppFullStackDemo: DDD/SOLID/CleanCode App .NetCore 3.1 (BackEnd) Angular Material Panel (FrontEnd) React Native (Mobile)
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arecibo_decoder
Script to decode Arecibo signal(which we sent to aliens to explain ourselves) into an image.
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ArenaGame
A Unity First Person Shooter game made with Forge networking as an example project.
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ARKit-Unity3D
Access ARKit features like world-tracking, live video rendering, plane estimation and updates, hit-testing API, ambient light estimation, and raw point cloud data.
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Artificial_Curiosity
Adaptive Reinforcement Learning of curious AI basketball agents
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ARTreasureHunt
My first AR application using Unity ARKit Plugin for iOS. It will be a simple game where the user must hunt for the diamonds scattered in the scene to claim the treasure and win the experience.
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arvados
An open source platform for managing and analyzing biomedical big data
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astra-toolbox
ASTRA Tomography Toolbox
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atom-probe-code
code for the analysis of APT data
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atomblend
Blender addon for atom probe data visualisation and analysis
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ATS-based_RSA_Algorithm_ElasticOpticalNetwork_EON
new RSA algorithm(dynamic routing) faster and flexible than SWP
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audio-video-match
matching 120*128 output of the VGG and 120*1024 output of the inception
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audiosync-cmd
python command line tool to automatically sync matching video and audio files
โญ 1 ๐ŸŒ Public
AUGMENTED-REALITY-IN-EDUCATION-Biology-Model-in-class-9-10-
Augmented Reality (AR) is an interactive experience or a mix of genuine real-world and computerized information and digital data. It simplifies and improves client information and user knowledge of interaction on collaboration with physical world by forcing virtual pictures on real ones. This is the better approach for manipulating how we collaborate with that world, replacing the real world. Augmented Reality has manifested in various fields to day like Education, Navigation, Games, Industry, Medical, Advertisements and Architecture. AR in training wills before long influence the students learning measure. Our methodology can possibly accelerate the plan of 3D perspectives on and help understudies to learn and acknowledge ideas in a superior and intelligent manner and approach has the potential to speed up the design of 3D views of and help students to learn and realize concepts in a better and interactive way. The thought introduced in this report is to show how AR can be utilized to upgrade the learning experience of understudies for Biology. The AR based Biology application submitted here is a teaching aid supplementing the work of a teacher in the Biology. The AR based Biology application submitted here is a training help enhancing crafted by an educator in the Biology. It is processes which make Biology simple, intelligent, useful and genuine to the understudies. The AR based Biology application submitted here is a teaching aid supplementing the work of a teacher in the Biology. It is processes which make Biology easy, interactive, informative and authentic to the students.
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autism
Data Challenge on Autism Spectrum Disorder detection
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Autism-1
Identification of Autism Spectrum Disorder using Machine Learning
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Autism-Detection-in-Adults
This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.
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AutismClassifier
Decision tree classifier for Autism - Computational Medicine
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AutismDetection
Dans ce projet on a utilisรฉ l'algorithme deep learning CNN pour dรฉtecter la prรฉsence d'autisme avec base ABIDE
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Autism_diagnosis
Autism diagnosis with Neural Networks
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