class i1idan:
"""
Hey there i'm Maryam !,
"""
def __init__(self):
self.username = 'i1idan'
self.name = 'Maryam Saeedi '
self.email = '[email protected]'
self.scholar = 'https://scholar.google.com/citations?user=M7RO3xAAAAAJ&hll=en'
self.kaggle = 'https://www.kaggle.com/i1idan'
self.interests = ['Artificial Intelligence', 'Computer Vision',
'Signal Processing', 'Cognitive Sciences']
self.skills = {
'ai': ['TensorFlow', 'Keras',
'Autokeras', 'Sklearn', 'LightGBM',
'CatBoost', 'XGBoost',
'Matlab', 'cuDNN'],
'vision': ['OpenCV'],
'data': ['Numpy', 'Scipy', 'Pandas', 'Matplotlib', 'Seaborn'],
'frontend': ['HTML', 'CSS', 'JS'],
'backend': ['Flask', 'Django', 'FastAPI']
'database': ['MySQL', 'SQLite3', 'Redis'],
'devops': ['ngrok', 'Docker', 'Nginx'],
'tools': ['git', 'Jupyter notebook'],
'misc': ['bash', 'GNU/Linux', 'ARM'],
}
💜
Experience in coding in Python on production-level code for more than 5 years.
-
Qlindex
- Istanbul, Turkey
- https://scholar.google.com/citations?user=M7RO3xAAAAAJ&hl=en
- in/maryam-saeedi-b6ab17196
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KiLJ4EdeN/COVID_WEB
KiLJ4EdeN/COVID_WEB PublicReady to use CT scan based COVID detection service using deep learning.
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AutoEncoder_Seizure_EEG_Generation
AutoEncoder_Seizure_EEG_Generation PublicForked from KiLJ4EdeN/AutoEncoder_Seizure_EEG_Generation
An unofficial implementation of the paper "A comprehensive comparison of handcrafted features and convolutionalautoencoders for epileptic seizures detection in EEG signals"
Jupyter Notebook 1
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express_template
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template to create express apps
JavaScript 1
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python-template
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python project template using pyproject toml
Python 1
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