Logo de Freelancer
Iniciar sesión Registrarse
Publica un proyecto
EXPLORAR
Electrical Engineering
Machine Learning (ML)
Matlab and Mathematica
Python
Telecommunications Engineering
Foto de portada de perfil
Ahora estás siguiendo a
Error al seguir a usuario.
Este usuario no permite que los usuarios lo sigan.
Ya estás siguiendo a este usuario.
Tu plan de membresía solo permite 0 seguimientos. Mejora tu membresía aquí.
Dejaste de seguir correctamente a
Error al dejar de seguir al usuario.
Has recomendado exitosamente a
Error al recomendar al usuario.
Algo salió mal. Por favor, actualiza la página e intenta de nuevo.
Email verificado correctamente.
Avatar del usuario

Seyed Amirreza M.

@amirrmusavifr

monthly-level-three.svg
4,9
26
6,0
6,0
85%

AI | ML | NLP | DL | MATLAB | PYTHON

$20 USD / hora
・
Bandera de
Canada (3:06 p. m.)
・
Se unió el septiembre 12, 2021
$20 USD / hora
・
I have master in Electrical Engineering, I'm expert with following skills: DIGITAL SIGNAL PROCESSING (MATLAB & PYTHON) * Estimation / Detection * Digital Communication Systems * Mathematics * Kalman Filter * Tracking System IMAGE PROCESSING (MATLAB & PYTHON) * Digital Image Processing * Image Classification * Image Segmentation * Machine learning * Neural Network * Deep Learning * Object Detection NATURAL LANGUAGE PROCESSING * Question Answering * Sentiment Classification * Named Entity Recognition (NER) * Part of Speech (POS) tagging * Lemmatization REINFORCEMENT LEARNING * Deep Q-Network * Model-free and Model-based training
Verificaciones
A tiempo
100 %
Dentro del presupuesto
100 %
Aceptar tarifa
84 %
Tasa de recontratación
14 %
Freelancer Python Developers Canada
Ver todo Python Developers en Canada

Portafolio

Portafolio

11587120
Estimate horse pose for standing horses from scratch: * labeling dataset * preprocessing data * training model and inference Used a github repo
Horse Pose Estimation
Estimate horse pose for standing horses from scratch: * labeling dataset * preprocessing data * training model and inference Used a github repo
Horse Pose Estimation
Estimate horse pose for standing horses from scratch: * labeling dataset * preprocessing data * training model and inference Used a github repo
Horse Pose Estimation
12397314
Location of caries proximal (mesial and distal) and occlusal with YOLOv8, that dataset file contains ( train 107, valid 30 and test 16) images and labels and yaml file. * Tuned hyper parameters (batch size, epochs) and modify loss function , optimizer * Added Augmentation (resize 256 × 320 pixels flip, zoom, rotation, translation, contrast, and brightness)
Segmentation of caries
Location of caries proximal (mesial and distal) and occlusal with YOLOv8, that dataset file contains ( train 107, valid 30 and test 16) images and labels and yaml file. * Tuned hyper parameters (batch size, epochs) and modify loss function , optimizer * Added Augmentation (resize 256 × 320 pixels flip, zoom, rotation, translation, contrast, and brightness)
Segmentation of caries
12249525
Image segmentation approach Using Deep Learning in PyTorch, a robust approach to overcome traditional approaches like OpenCv. Typically the receipts images are photos taken on the spot so we've train the model so can segment them as well. The code has been tested on the client PC on a Anaconda environment created by us for easy inference and continue working.
Segment and crop receipt image
Image segmentation approach Using Deep Learning in PyTorch, a robust approach to overcome traditional approaches like OpenCv. Typically the receipts images are photos taken on the spot so we've train the model so can segment them as well. The code has been tested on the client PC on a Anaconda environment created by us for easy inference and continue working.
Segment and crop receipt image
9686440
Transmitted image encoded by Hamming code and passed through the MIMO channel whit Additive White Gaussian Noise (AWGN) and Received image (in low SNR)
Image passing through AWGN channel in MIMO system
Transmitted image encoded by Hamming code and passed through the MIMO channel whit Additive White Gaussian Noise (AWGN) and Received image (in low SNR)
Image passing through AWGN channel in MIMO system
9686455
The estimate of drone position using GPS data (red circles) by Kalman filter (in black) versus true path in (x,y), implemented in both Simulink and MATLAB script
Estimate drone position utilizing Kalman filter and GPS data
9686408
The estimation of Power Spectral Density (PSD) utilizing Blackman, Welch, Minimum Variance, and Burg methods and Bartlett’s smoothing procedure
Discrete Fourier Transform
The estimation of Power Spectral Density (PSD) utilizing Blackman, Welch, Minimum Variance, and Burg methods and Bartlett’s smoothing procedure
Discrete Fourier Transform
The estimation of Power Spectral Density (PSD) utilizing Blackman, Welch, Minimum Variance, and Burg methods and Bartlett’s smoothing procedure
Discrete Fourier Transform
The estimation of Power Spectral Density (PSD) utilizing Blackman, Welch, Minimum Variance, and Burg methods and Bartlett’s smoothing procedure
Discrete Fourier Transform
11587120
Estimate horse pose for standing horses from scratch: * labeling dataset * preprocessing data * training model and inference Used a github repo
Horse Pose Estimation
Estimate horse pose for standing horses from scratch: * labeling dataset * preprocessing data * training model and inference Used a github repo
Horse Pose Estimation
Estimate horse pose for standing horses from scratch: * labeling dataset * preprocessing data * training model and inference Used a github repo
Horse Pose Estimation
12397314
Location of caries proximal (mesial and distal) and occlusal with YOLOv8, that dataset file contains ( train 107, valid 30 and test 16) images and labels and yaml file. * Tuned hyper parameters (batch size, epochs) and modify loss function , optimizer * Added Augmentation (resize 256 × 320 pixels flip, zoom, rotation, translation, contrast, and brightness)
Segmentation of caries
Location of caries proximal (mesial and distal) and occlusal with YOLOv8, that dataset file contains ( train 107, valid 30 and test 16) images and labels and yaml file. * Tuned hyper parameters (batch size, epochs) and modify loss function , optimizer * Added Augmentation (resize 256 × 320 pixels flip, zoom, rotation, translation, contrast, and brightness)
Segmentation of caries
12249525
Image segmentation approach Using Deep Learning in PyTorch, a robust approach to overcome traditional approaches like OpenCv. Typically the receipts images are photos taken on the spot so we've train the model so can segment them as well. The code has been tested on the client PC on a Anaconda environment created by us for easy inference and continue working.
Segment and crop receipt image
Image segmentation approach Using Deep Learning in PyTorch, a robust approach to overcome traditional approaches like OpenCv. Typically the receipts images are photos taken on the spot so we've train the model so can segment them as well. The code has been tested on the client PC on a Anaconda environment created by us for easy inference and continue working.
Segment and crop receipt image
9686440
Transmitted image encoded by Hamming code and passed through the MIMO channel whit Additive White Gaussian Noise (AWGN) and Received image (in low SNR)
Image passing through AWGN channel in MIMO system
Transmitted image encoded by Hamming code and passed through the MIMO channel whit Additive White Gaussian Noise (AWGN) and Received image (in low SNR)
Image passing through AWGN channel in MIMO system
9686455
The estimate of drone position using GPS data (red circles) by Kalman filter (in black) versus true path in (x,y), implemented in both Simulink and MATLAB script
Estimate drone position utilizing Kalman filter and GPS data
9686408
The estimation of Power Spectral Density (PSD) utilizing Blackman, Welch, Minimum Variance, and Burg methods and Bartlett’s smoothing procedure
Discrete Fourier Transform
The estimation of Power Spectral Density (PSD) utilizing Blackman, Welch, Minimum Variance, and Burg methods and Bartlett’s smoothing procedure
Discrete Fourier Transform
The estimation of Power Spectral Density (PSD) utilizing Blackman, Welch, Minimum Variance, and Burg methods and Bartlett’s smoothing procedure
Discrete Fourier Transform
The estimation of Power Spectral Density (PSD) utilizing Blackman, Welch, Minimum Variance, and Burg methods and Bartlett’s smoothing procedure
Discrete Fourier Transform
Cambios guardados
4.9 · 26 Reviews
Opiniones
Avatar del usuario
Project for Seyed Amirreza M. -- 2 • $220 USD
Seyed Amirreza M. is an exceptional software developer who consistently delivers high-quality work. Their technical expertise in [deep learninng, image processing, python, google colab ] is impressive, and they demonstrate a deep understanding of software development principles. also consistently meets deadlines and provides regular updates on project progress
Asma S.
@asmaalatawi
•
Bandera de
Tabuk, Saudi Arabia
•
hace 1 mes
Compartir
F
Project for Seyed Amirreza M. -- 2 • $70 USD
Excellent work and great to work with
Ray M.
@firstsecondthird
•
Bandera de
canton, United States
•
hace 3 meses
Compartir
Avatar del usuario
Transformer Network Architecture Implementation • $110 USD
Very professional, expert and committed to the work!
Muhd Baqer M.
@mbaqer123
•
Bandera de
Singapore, Singapore
•
hace 3 meses
Compartir
M
Standalone Bark Detection and Logging • $1.150 USD
The code was a bit rough around the edges, but it was functional and precisely what I needed to kickstart my project. They essentially wrote the one module that I couldn't write for myself. :)
Michael L.
@mtecknology
•
Bandera de
Bismarck, United States
•
hace 5 meses
Compartir
A
ML Model Deployment Expertise • $100 USD
Very responsive, attentive and punctual. We asked him to do a likely impossible task and he did his best to help us out. We will continue to work with him.
Aasem K.
@aasemkhan
•
Bandera de
Alpharetta, United States
•
hace 9 meses
Compartir
¡Invitación enviada correctamente!
¡Gracias! Te hemos enviado un enlace para reclamar tu crédito gratuito.
Algo salió mal al enviar tu correo electrónico. Por favor, intenta de nuevo.
Logo de Freelancer Mexico / Español
Ayuda y soporte
Freelancer
CategoríasProyectos Concursos Freelancers Empresarial Desarrollo de IA MembresíaPrograma de Freelancers Preferentes Gestión del proyecto Trabajos localesPhoto Anywhere GaleríaAPI para desarrolladoresVerifícate Software de escritorio
 Información
Quiénes somos Cómo funciona Seguridad Inversionista Mapa del sitio Historias NoticiasEquipoPremiosComunicados de prensaEmpleos
 Términos
Política de privacidadTérminos y condicionesPolítica de derechos de autorCódigo de conductaCargos y Tarifas
Socios
Escrow.comLoadshiftWarrior Forum
 Apps
Logo de "App Store" de AppleLogo de Google Play
Falló el copiado al portapapeles. Intenta de nuevo después de ajustar tus permisos.
Copiado al portapapeles.
Usuarios registrados Total de empleos publicados
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2025 Freelancer Technology Pty Limited (ACN 142 189 759)
Cargando visualización previa
Permiso concedido para Geolocalización.
Tu sesión de acceso ha expirado y has sido desconectado. Por favor, inica sesión nuevamente.