amirahalsulami
A Junior data scientist with a Mathematics and Physics background. Proficient in collecting and interpreting large data sets. Experienced in using predictive da
Saudi Arabia
Pinned Repositories
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
Data-Analysis
Data Science Using Python
Data-Science
R , Python, Machine Learning, Data Analysis, Data Visualization,Data Manipulation,Data Cleaning
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
faceswap_pytorch
Deep fake ready to train on any 2 pair dataset with higher resolution
Fair-ML-4-Ethical-AI
Fair Statistical Learning Algorithms for Ethical Artificial Intelligence
Helmet-detection-and-facial-recognition
A system to detect non-adopted persons using a deep learning model, identify faces, and record work logs
kaggle-melanoma
2nd place solution for SIIM-OSIC Melanoma Classification
petal
People for the Ethical Treatment of ALgorithms: python CFFI wrappers for libnettle
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
amirahalsulami's Repositories
amirahalsulami/BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
amirahalsulami/Data-Analysis
Data Science Using Python
amirahalsulami/Data-Science
R , Python, Machine Learning, Data Analysis, Data Visualization,Data Manipulation,Data Cleaning
amirahalsulami/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
amirahalsulami/faceswap_pytorch
Deep fake ready to train on any 2 pair dataset with higher resolution
amirahalsulami/Fair-ML-4-Ethical-AI
Fair Statistical Learning Algorithms for Ethical Artificial Intelligence
amirahalsulami/Helmet-detection-and-facial-recognition
A system to detect non-adopted persons using a deep learning model, identify faces, and record work logs
amirahalsulami/kaggle-melanoma
2nd place solution for SIIM-OSIC Melanoma Classification
amirahalsulami/petal
People for the Ethical Treatment of ALgorithms: python CFFI wrappers for libnettle
amirahalsulami/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
amirahalsulami/youtube-8m
Starter code for working with the YouTube-8M dataset.